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View Code? Open in Web Editor NEWCode for 15th place in Kaggle Google AI Open Images - Object Detection Track
License: MIT License
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Snapshot/epoch information and log files
Hi @ZFTurbo ,
Thanks a lot for your great repo! You provided three pretrained models via this repo. Could you please mention steps of the snapshots? We noticed # '--snapshot', './snapshots/resnet101_oid_189.h5' code snippet in the 'retinanet_training_level_1/train_oid_level_1_resnet101.py' and # '--snapshot', './snapshots/resnet152_oid_239.h5' in the 'retinanet_training_level_1/train_oid_level_1_resnet152.py' file. So, are these snapshots of 189 and 239 respectively? However, you have shown a figure with in the kaggle discusstion (https://www.kaggle.com/c/google-ai-open-images-object-detection-track/discussion/64633) with 271+ and 253+ epoch (or is it steps?). Also, you mentioned image size 728 - 1024 for ResNet50 and ResNet101 backbone; will it be 768 - 1024? I really appreciate if you could clarify theses minor information. In addition, it will greatly helpful if you could provide logs of the train and validation (my email is [email protected], just in case)! Thank you very much.
Regards,
Azam
Issue in inference code for 500 classes
Hello ZFTurbo,
The code is very perfect, I run the code for class level-1 and it's working perfectly. Bravo and thanks for the useful code.
Now I want to run the file: "create_higher_level_predictions_from_level_1_predictions_csv.py" for all level classes.
But when I am running the file, it gives me the following .csv file error:
FileNotFoundError: [Errno 2] No such file or directory: '/root/Keras-RetinaNet-for-Open-Images-Challenge-2018-master/input/challenge-2018-class-descriptions-500.csv'
Did I miss to download the "challenge-2018-class-descriptions-500.csv" file?
I will be very thankful for your help.
regards,
shahi
Which version of open images dataset were the pre-trained models trained on?
Were they trained on OpenImagesV6? If not, can you give pointers to retrain on v6?
How do you separate the class in five levels efficiently?
Hi ,I would like to know how did you get the result of line36 to line92(levels 1),line95 to line101(level2)
in a00_utils_and_constants.py
Did you do it by reading:
https://storage.googleapis.com/openimages/challenge_2018/bbox_labels_500_hierarchy_visualizer/circle.html and type it all by yourself or is there an efficient way (for example by coding) to do it ?
Thanks!
ValueError: not enough values to unpack (expected 3, got 2)
Thanks for your sharing~
I try to run this model on open image 2019 test images, but I got this error and I cannot find why could it happen. Can you help me with this?
Traceback (most recent call last): File "E:/Datasets/model/Keras-RetinaNet-for-Open-Images-Challenge-2018-master/retinanet_inference_example.py", line 194, in <module> get_retinanet_predictions_for_files(files_to_process, output_cache_directory, pretrained_model_path, backbone) File "E:/Datasets/model/Keras-RetinaNet-for-Open-Images-Challenge-2018-master/retinanet_inference_example.py", line 75, in get_retinanet_predictions_for_files boxes, scores, labels = model.predict_on_batch(image) ValueError: not enough values to unpack (expected 3, got 2)
open license
Dear ZFTurbo,
Could you kindly add a license to wonderful github repo?
Many thanks,
Tien Dung
All the detection shapes are the same
When I run your model with resnet152 on the test set all the detection shapes are the same and come out to be (2,300,4) (2,300) (2,300) for every image. Can you help me out with this?
GPU OOM when training
hello,
I'm using GTX1070 (8G vram)
Is the resnet101 model supposed to not fit in 8G vram?
i've tried to set most of the layers to untrainable, but the model still can't fit in the vram.
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, None, None, 3 0
__________________________________________________________________________________________________
padding_conv1 (ZeroPadding2D) (None, None, None, 3 0 input_1[0][0]
__________________________________________________________________________________________________
conv1 (Conv2D) (None, None, None, 6 9408 padding_conv1[0][0]
__________________________________________________________________________________________________
bn_conv1 (BatchNormalization) (None, None, None, 6 256 conv1[0][0]
__________________________________________________________________________________________________
conv1_relu (Activation) (None, None, None, 6 0 bn_conv1[0][0]
__________________________________________________________________________________________________
pool1 (MaxPooling2D) (None, None, None, 6 0 conv1_relu[0][0]
__________________________________________________________________________________________________
res2a_branch2a (Conv2D) (None, None, None, 6 4096 pool1[0][0]
__________________________________________________________________________________________________
bn2a_branch2a (BatchNormalizati (None, None, None, 6 256 res2a_branch2a[0][0]
__________________________________________________________________________________________________
res2a_branch2a_relu (Activation (None, None, None, 6 0 bn2a_branch2a[0][0]
__________________________________________________________________________________________________
padding2a_branch2b (ZeroPadding (None, None, None, 6 0 res2a_branch2a_relu[0][0]
__________________________________________________________________________________________________
res2a_branch2b (Conv2D) (None, None, None, 6 36864 padding2a_branch2b[0][0]
__________________________________________________________________________________________________
bn2a_branch2b (BatchNormalizati (None, None, None, 6 256 res2a_branch2b[0][0]
__________________________________________________________________________________________________
res2a_branch2b_relu (Activation (None, None, None, 6 0 bn2a_branch2b[0][0]
__________________________________________________________________________________________________
res2a_branch2c (Conv2D) (None, None, None, 2 16384 res2a_branch2b_relu[0][0]
__________________________________________________________________________________________________
res2a_branch1 (Conv2D) (None, None, None, 2 16384 pool1[0][0]
__________________________________________________________________________________________________
bn2a_branch2c (BatchNormalizati (None, None, None, 2 1024 res2a_branch2c[0][0]
__________________________________________________________________________________________________
bn2a_branch1 (BatchNormalizatio (None, None, None, 2 1024 res2a_branch1[0][0]
__________________________________________________________________________________________________
res2a (Add) (None, None, None, 2 0 bn2a_branch2c[0][0]
bn2a_branch1[0][0]
__________________________________________________________________________________________________
res2a_relu (Activation) (None, None, None, 2 0 res2a[0][0]
__________________________________________________________________________________________________
res2b_branch2a (Conv2D) (None, None, None, 6 16384 res2a_relu[0][0]
__________________________________________________________________________________________________
bn2b_branch2a (BatchNormalizati (None, None, None, 6 256 res2b_branch2a[0][0]
__________________________________________________________________________________________________
res2b_branch2a_relu (Activation (None, None, None, 6 0 bn2b_branch2a[0][0]
__________________________________________________________________________________________________
padding2b_branch2b (ZeroPadding (None, None, None, 6 0 res2b_branch2a_relu[0][0]
__________________________________________________________________________________________________
res2b_branch2b (Conv2D) (None, None, None, 6 36864 padding2b_branch2b[0][0]
__________________________________________________________________________________________________
bn2b_branch2b (BatchNormalizati (None, None, None, 6 256 res2b_branch2b[0][0]
__________________________________________________________________________________________________
res2b_branch2b_relu (Activation (None, None, None, 6 0 bn2b_branch2b[0][0]
__________________________________________________________________________________________________
res2b_branch2c (Conv2D) (None, None, None, 2 16384 res2b_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn2b_branch2c (BatchNormalizati (None, None, None, 2 1024 res2b_branch2c[0][0]
__________________________________________________________________________________________________
res2b (Add) (None, None, None, 2 0 bn2b_branch2c[0][0]
res2a_relu[0][0]
__________________________________________________________________________________________________
res2b_relu (Activation) (None, None, None, 2 0 res2b[0][0]
__________________________________________________________________________________________________
res2c_branch2a (Conv2D) (None, None, None, 6 16384 res2b_relu[0][0]
__________________________________________________________________________________________________
bn2c_branch2a (BatchNormalizati (None, None, None, 6 256 res2c_branch2a[0][0]
__________________________________________________________________________________________________
res2c_branch2a_relu (Activation (None, None, None, 6 0 bn2c_branch2a[0][0]
__________________________________________________________________________________________________
padding2c_branch2b (ZeroPadding (None, None, None, 6 0 res2c_branch2a_relu[0][0]
__________________________________________________________________________________________________
res2c_branch2b (Conv2D) (None, None, None, 6 36864 padding2c_branch2b[0][0]
__________________________________________________________________________________________________
bn2c_branch2b (BatchNormalizati (None, None, None, 6 256 res2c_branch2b[0][0]
__________________________________________________________________________________________________
res2c_branch2b_relu (Activation (None, None, None, 6 0 bn2c_branch2b[0][0]
__________________________________________________________________________________________________
res2c_branch2c (Conv2D) (None, None, None, 2 16384 res2c_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn2c_branch2c (BatchNormalizati (None, None, None, 2 1024 res2c_branch2c[0][0]
__________________________________________________________________________________________________
res2c (Add) (None, None, None, 2 0 bn2c_branch2c[0][0]
res2b_relu[0][0]
__________________________________________________________________________________________________
res2c_relu (Activation) (None, None, None, 2 0 res2c[0][0]
__________________________________________________________________________________________________
res3a_branch2a (Conv2D) (None, None, None, 1 32768 res2c_relu[0][0]
__________________________________________________________________________________________________
bn3a_branch2a (BatchNormalizati (None, None, None, 1 512 res3a_branch2a[0][0]
__________________________________________________________________________________________________
res3a_branch2a_relu (Activation (None, None, None, 1 0 bn3a_branch2a[0][0]
__________________________________________________________________________________________________
padding3a_branch2b (ZeroPadding (None, None, None, 1 0 res3a_branch2a_relu[0][0]
__________________________________________________________________________________________________
res3a_branch2b (Conv2D) (None, None, None, 1 147456 padding3a_branch2b[0][0]
__________________________________________________________________________________________________
bn3a_branch2b (BatchNormalizati (None, None, None, 1 512 res3a_branch2b[0][0]
__________________________________________________________________________________________________
res3a_branch2b_relu (Activation (None, None, None, 1 0 bn3a_branch2b[0][0]
__________________________________________________________________________________________________
res3a_branch2c (Conv2D) (None, None, None, 5 65536 res3a_branch2b_relu[0][0]
__________________________________________________________________________________________________
res3a_branch1 (Conv2D) (None, None, None, 5 131072 res2c_relu[0][0]
__________________________________________________________________________________________________
bn3a_branch2c (BatchNormalizati (None, None, None, 5 2048 res3a_branch2c[0][0]
__________________________________________________________________________________________________
bn3a_branch1 (BatchNormalizatio (None, None, None, 5 2048 res3a_branch1[0][0]
__________________________________________________________________________________________________
res3a (Add) (None, None, None, 5 0 bn3a_branch2c[0][0]
bn3a_branch1[0][0]
__________________________________________________________________________________________________
res3a_relu (Activation) (None, None, None, 5 0 res3a[0][0]
__________________________________________________________________________________________________
res3b1_branch2a (Conv2D) (None, None, None, 1 65536 res3a_relu[0][0]
__________________________________________________________________________________________________
bn3b1_branch2a (BatchNormalizat (None, None, None, 1 512 res3b1_branch2a[0][0]
__________________________________________________________________________________________________
res3b1_branch2a_relu (Activatio (None, None, None, 1 0 bn3b1_branch2a[0][0]
__________________________________________________________________________________________________
padding3b1_branch2b (ZeroPaddin (None, None, None, 1 0 res3b1_branch2a_relu[0][0]
__________________________________________________________________________________________________
res3b1_branch2b (Conv2D) (None, None, None, 1 147456 padding3b1_branch2b[0][0]
__________________________________________________________________________________________________
bn3b1_branch2b (BatchNormalizat (None, None, None, 1 512 res3b1_branch2b[0][0]
__________________________________________________________________________________________________
res3b1_branch2b_relu (Activatio (None, None, None, 1 0 bn3b1_branch2b[0][0]
__________________________________________________________________________________________________
res3b1_branch2c (Conv2D) (None, None, None, 5 65536 res3b1_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn3b1_branch2c (BatchNormalizat (None, None, None, 5 2048 res3b1_branch2c[0][0]
__________________________________________________________________________________________________
res3b1 (Add) (None, None, None, 5 0 bn3b1_branch2c[0][0]
res3a_relu[0][0]
__________________________________________________________________________________________________
res3b1_relu (Activation) (None, None, None, 5 0 res3b1[0][0]
__________________________________________________________________________________________________
res3b2_branch2a (Conv2D) (None, None, None, 1 65536 res3b1_relu[0][0]
__________________________________________________________________________________________________
bn3b2_branch2a (BatchNormalizat (None, None, None, 1 512 res3b2_branch2a[0][0]
__________________________________________________________________________________________________
res3b2_branch2a_relu (Activatio (None, None, None, 1 0 bn3b2_branch2a[0][0]
__________________________________________________________________________________________________
padding3b2_branch2b (ZeroPaddin (None, None, None, 1 0 res3b2_branch2a_relu[0][0]
__________________________________________________________________________________________________
res3b2_branch2b (Conv2D) (None, None, None, 1 147456 padding3b2_branch2b[0][0]
__________________________________________________________________________________________________
bn3b2_branch2b (BatchNormalizat (None, None, None, 1 512 res3b2_branch2b[0][0]
__________________________________________________________________________________________________
res3b2_branch2b_relu (Activatio (None, None, None, 1 0 bn3b2_branch2b[0][0]
__________________________________________________________________________________________________
res3b2_branch2c (Conv2D) (None, None, None, 5 65536 res3b2_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn3b2_branch2c (BatchNormalizat (None, None, None, 5 2048 res3b2_branch2c[0][0]
__________________________________________________________________________________________________
res3b2 (Add) (None, None, None, 5 0 bn3b2_branch2c[0][0]
res3b1_relu[0][0]
__________________________________________________________________________________________________
res3b2_relu (Activation) (None, None, None, 5 0 res3b2[0][0]
__________________________________________________________________________________________________
res3b3_branch2a (Conv2D) (None, None, None, 1 65536 res3b2_relu[0][0]
__________________________________________________________________________________________________
bn3b3_branch2a (BatchNormalizat (None, None, None, 1 512 res3b3_branch2a[0][0]
__________________________________________________________________________________________________
res3b3_branch2a_relu (Activatio (None, None, None, 1 0 bn3b3_branch2a[0][0]
__________________________________________________________________________________________________
padding3b3_branch2b (ZeroPaddin (None, None, None, 1 0 res3b3_branch2a_relu[0][0]
__________________________________________________________________________________________________
res3b3_branch2b (Conv2D) (None, None, None, 1 147456 padding3b3_branch2b[0][0]
__________________________________________________________________________________________________
bn3b3_branch2b (BatchNormalizat (None, None, None, 1 512 res3b3_branch2b[0][0]
__________________________________________________________________________________________________
res3b3_branch2b_relu (Activatio (None, None, None, 1 0 bn3b3_branch2b[0][0]
__________________________________________________________________________________________________
res3b3_branch2c (Conv2D) (None, None, None, 5 65536 res3b3_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn3b3_branch2c (BatchNormalizat (None, None, None, 5 2048 res3b3_branch2c[0][0]
__________________________________________________________________________________________________
res3b3 (Add) (None, None, None, 5 0 bn3b3_branch2c[0][0]
res3b2_relu[0][0]
__________________________________________________________________________________________________
res3b3_relu (Activation) (None, None, None, 5 0 res3b3[0][0]
__________________________________________________________________________________________________
res4a_branch2a (Conv2D) (None, None, None, 2 131072 res3b3_relu[0][0]
__________________________________________________________________________________________________
bn4a_branch2a (BatchNormalizati (None, None, None, 2 1024 res4a_branch2a[0][0]
__________________________________________________________________________________________________
res4a_branch2a_relu (Activation (None, None, None, 2 0 bn4a_branch2a[0][0]
__________________________________________________________________________________________________
padding4a_branch2b (ZeroPadding (None, None, None, 2 0 res4a_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4a_branch2b (Conv2D) (None, None, None, 2 589824 padding4a_branch2b[0][0]
__________________________________________________________________________________________________
bn4a_branch2b (BatchNormalizati (None, None, None, 2 1024 res4a_branch2b[0][0]
__________________________________________________________________________________________________
res4a_branch2b_relu (Activation (None, None, None, 2 0 bn4a_branch2b[0][0]
__________________________________________________________________________________________________
res4a_branch2c (Conv2D) (None, None, None, 1 262144 res4a_branch2b_relu[0][0]
__________________________________________________________________________________________________
res4a_branch1 (Conv2D) (None, None, None, 1 524288 res3b3_relu[0][0]
__________________________________________________________________________________________________
bn4a_branch2c (BatchNormalizati (None, None, None, 1 4096 res4a_branch2c[0][0]
__________________________________________________________________________________________________
bn4a_branch1 (BatchNormalizatio (None, None, None, 1 4096 res4a_branch1[0][0]
__________________________________________________________________________________________________
res4a (Add) (None, None, None, 1 0 bn4a_branch2c[0][0]
bn4a_branch1[0][0]
__________________________________________________________________________________________________
res4a_relu (Activation) (None, None, None, 1 0 res4a[0][0]
__________________________________________________________________________________________________
res4b1_branch2a (Conv2D) (None, None, None, 2 262144 res4a_relu[0][0]
__________________________________________________________________________________________________
bn4b1_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b1_branch2a[0][0]
__________________________________________________________________________________________________
res4b1_branch2a_relu (Activatio (None, None, None, 2 0 bn4b1_branch2a[0][0]
__________________________________________________________________________________________________
padding4b1_branch2b (ZeroPaddin (None, None, None, 2 0 res4b1_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b1_branch2b (Conv2D) (None, None, None, 2 589824 padding4b1_branch2b[0][0]
__________________________________________________________________________________________________
bn4b1_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b1_branch2b[0][0]
__________________________________________________________________________________________________
res4b1_branch2b_relu (Activatio (None, None, None, 2 0 bn4b1_branch2b[0][0]
__________________________________________________________________________________________________
res4b1_branch2c (Conv2D) (None, None, None, 1 262144 res4b1_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b1_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b1_branch2c[0][0]
__________________________________________________________________________________________________
res4b1 (Add) (None, None, None, 1 0 bn4b1_branch2c[0][0]
res4a_relu[0][0]
__________________________________________________________________________________________________
res4b1_relu (Activation) (None, None, None, 1 0 res4b1[0][0]
__________________________________________________________________________________________________
res4b2_branch2a (Conv2D) (None, None, None, 2 262144 res4b1_relu[0][0]
__________________________________________________________________________________________________
bn4b2_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b2_branch2a[0][0]
__________________________________________________________________________________________________
res4b2_branch2a_relu (Activatio (None, None, None, 2 0 bn4b2_branch2a[0][0]
__________________________________________________________________________________________________
padding4b2_branch2b (ZeroPaddin (None, None, None, 2 0 res4b2_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b2_branch2b (Conv2D) (None, None, None, 2 589824 padding4b2_branch2b[0][0]
__________________________________________________________________________________________________
bn4b2_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b2_branch2b[0][0]
__________________________________________________________________________________________________
res4b2_branch2b_relu (Activatio (None, None, None, 2 0 bn4b2_branch2b[0][0]
__________________________________________________________________________________________________
res4b2_branch2c (Conv2D) (None, None, None, 1 262144 res4b2_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b2_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b2_branch2c[0][0]
__________________________________________________________________________________________________
res4b2 (Add) (None, None, None, 1 0 bn4b2_branch2c[0][0]
res4b1_relu[0][0]
__________________________________________________________________________________________________
res4b2_relu (Activation) (None, None, None, 1 0 res4b2[0][0]
__________________________________________________________________________________________________
res4b3_branch2a (Conv2D) (None, None, None, 2 262144 res4b2_relu[0][0]
__________________________________________________________________________________________________
bn4b3_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b3_branch2a[0][0]
__________________________________________________________________________________________________
res4b3_branch2a_relu (Activatio (None, None, None, 2 0 bn4b3_branch2a[0][0]
__________________________________________________________________________________________________
padding4b3_branch2b (ZeroPaddin (None, None, None, 2 0 res4b3_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b3_branch2b (Conv2D) (None, None, None, 2 589824 padding4b3_branch2b[0][0]
__________________________________________________________________________________________________
bn4b3_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b3_branch2b[0][0]
__________________________________________________________________________________________________
res4b3_branch2b_relu (Activatio (None, None, None, 2 0 bn4b3_branch2b[0][0]
__________________________________________________________________________________________________
res4b3_branch2c (Conv2D) (None, None, None, 1 262144 res4b3_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b3_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b3_branch2c[0][0]
__________________________________________________________________________________________________
res4b3 (Add) (None, None, None, 1 0 bn4b3_branch2c[0][0]
res4b2_relu[0][0]
__________________________________________________________________________________________________
res4b3_relu (Activation) (None, None, None, 1 0 res4b3[0][0]
__________________________________________________________________________________________________
res4b4_branch2a (Conv2D) (None, None, None, 2 262144 res4b3_relu[0][0]
__________________________________________________________________________________________________
bn4b4_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b4_branch2a[0][0]
__________________________________________________________________________________________________
res4b4_branch2a_relu (Activatio (None, None, None, 2 0 bn4b4_branch2a[0][0]
__________________________________________________________________________________________________
padding4b4_branch2b (ZeroPaddin (None, None, None, 2 0 res4b4_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b4_branch2b (Conv2D) (None, None, None, 2 589824 padding4b4_branch2b[0][0]
__________________________________________________________________________________________________
bn4b4_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b4_branch2b[0][0]
__________________________________________________________________________________________________
res4b4_branch2b_relu (Activatio (None, None, None, 2 0 bn4b4_branch2b[0][0]
__________________________________________________________________________________________________
res4b4_branch2c (Conv2D) (None, None, None, 1 262144 res4b4_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b4_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b4_branch2c[0][0]
__________________________________________________________________________________________________
res4b4 (Add) (None, None, None, 1 0 bn4b4_branch2c[0][0]
res4b3_relu[0][0]
__________________________________________________________________________________________________
res4b4_relu (Activation) (None, None, None, 1 0 res4b4[0][0]
__________________________________________________________________________________________________
res4b5_branch2a (Conv2D) (None, None, None, 2 262144 res4b4_relu[0][0]
__________________________________________________________________________________________________
bn4b5_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b5_branch2a[0][0]
__________________________________________________________________________________________________
res4b5_branch2a_relu (Activatio (None, None, None, 2 0 bn4b5_branch2a[0][0]
__________________________________________________________________________________________________
padding4b5_branch2b (ZeroPaddin (None, None, None, 2 0 res4b5_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b5_branch2b (Conv2D) (None, None, None, 2 589824 padding4b5_branch2b[0][0]
__________________________________________________________________________________________________
bn4b5_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b5_branch2b[0][0]
__________________________________________________________________________________________________
res4b5_branch2b_relu (Activatio (None, None, None, 2 0 bn4b5_branch2b[0][0]
__________________________________________________________________________________________________
res4b5_branch2c (Conv2D) (None, None, None, 1 262144 res4b5_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b5_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b5_branch2c[0][0]
__________________________________________________________________________________________________
res4b5 (Add) (None, None, None, 1 0 bn4b5_branch2c[0][0]
res4b4_relu[0][0]
__________________________________________________________________________________________________
res4b5_relu (Activation) (None, None, None, 1 0 res4b5[0][0]
__________________________________________________________________________________________________
res4b6_branch2a (Conv2D) (None, None, None, 2 262144 res4b5_relu[0][0]
__________________________________________________________________________________________________
bn4b6_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b6_branch2a[0][0]
__________________________________________________________________________________________________
res4b6_branch2a_relu (Activatio (None, None, None, 2 0 bn4b6_branch2a[0][0]
__________________________________________________________________________________________________
padding4b6_branch2b (ZeroPaddin (None, None, None, 2 0 res4b6_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b6_branch2b (Conv2D) (None, None, None, 2 589824 padding4b6_branch2b[0][0]
__________________________________________________________________________________________________
bn4b6_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b6_branch2b[0][0]
__________________________________________________________________________________________________
res4b6_branch2b_relu (Activatio (None, None, None, 2 0 bn4b6_branch2b[0][0]
__________________________________________________________________________________________________
res4b6_branch2c (Conv2D) (None, None, None, 1 262144 res4b6_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b6_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b6_branch2c[0][0]
__________________________________________________________________________________________________
res4b6 (Add) (None, None, None, 1 0 bn4b6_branch2c[0][0]
res4b5_relu[0][0]
__________________________________________________________________________________________________
res4b6_relu (Activation) (None, None, None, 1 0 res4b6[0][0]
__________________________________________________________________________________________________
res4b7_branch2a (Conv2D) (None, None, None, 2 262144 res4b6_relu[0][0]
__________________________________________________________________________________________________
bn4b7_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b7_branch2a[0][0]
__________________________________________________________________________________________________
res4b7_branch2a_relu (Activatio (None, None, None, 2 0 bn4b7_branch2a[0][0]
__________________________________________________________________________________________________
padding4b7_branch2b (ZeroPaddin (None, None, None, 2 0 res4b7_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b7_branch2b (Conv2D) (None, None, None, 2 589824 padding4b7_branch2b[0][0]
__________________________________________________________________________________________________
bn4b7_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b7_branch2b[0][0]
__________________________________________________________________________________________________
res4b7_branch2b_relu (Activatio (None, None, None, 2 0 bn4b7_branch2b[0][0]
__________________________________________________________________________________________________
res4b7_branch2c (Conv2D) (None, None, None, 1 262144 res4b7_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b7_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b7_branch2c[0][0]
__________________________________________________________________________________________________
res4b7 (Add) (None, None, None, 1 0 bn4b7_branch2c[0][0]
res4b6_relu[0][0]
__________________________________________________________________________________________________
res4b7_relu (Activation) (None, None, None, 1 0 res4b7[0][0]
__________________________________________________________________________________________________
res4b8_branch2a (Conv2D) (None, None, None, 2 262144 res4b7_relu[0][0]
__________________________________________________________________________________________________
bn4b8_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b8_branch2a[0][0]
__________________________________________________________________________________________________
res4b8_branch2a_relu (Activatio (None, None, None, 2 0 bn4b8_branch2a[0][0]
__________________________________________________________________________________________________
padding4b8_branch2b (ZeroPaddin (None, None, None, 2 0 res4b8_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b8_branch2b (Conv2D) (None, None, None, 2 589824 padding4b8_branch2b[0][0]
__________________________________________________________________________________________________
bn4b8_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b8_branch2b[0][0]
__________________________________________________________________________________________________
res4b8_branch2b_relu (Activatio (None, None, None, 2 0 bn4b8_branch2b[0][0]
__________________________________________________________________________________________________
res4b8_branch2c (Conv2D) (None, None, None, 1 262144 res4b8_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b8_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b8_branch2c[0][0]
__________________________________________________________________________________________________
res4b8 (Add) (None, None, None, 1 0 bn4b8_branch2c[0][0]
res4b7_relu[0][0]
__________________________________________________________________________________________________
res4b8_relu (Activation) (None, None, None, 1 0 res4b8[0][0]
__________________________________________________________________________________________________
res4b9_branch2a (Conv2D) (None, None, None, 2 262144 res4b8_relu[0][0]
__________________________________________________________________________________________________
bn4b9_branch2a (BatchNormalizat (None, None, None, 2 1024 res4b9_branch2a[0][0]
__________________________________________________________________________________________________
res4b9_branch2a_relu (Activatio (None, None, None, 2 0 bn4b9_branch2a[0][0]
__________________________________________________________________________________________________
padding4b9_branch2b (ZeroPaddin (None, None, None, 2 0 res4b9_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b9_branch2b (Conv2D) (None, None, None, 2 589824 padding4b9_branch2b[0][0]
__________________________________________________________________________________________________
bn4b9_branch2b (BatchNormalizat (None, None, None, 2 1024 res4b9_branch2b[0][0]
__________________________________________________________________________________________________
res4b9_branch2b_relu (Activatio (None, None, None, 2 0 bn4b9_branch2b[0][0]
__________________________________________________________________________________________________
res4b9_branch2c (Conv2D) (None, None, None, 1 262144 res4b9_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b9_branch2c (BatchNormalizat (None, None, None, 1 4096 res4b9_branch2c[0][0]
__________________________________________________________________________________________________
res4b9 (Add) (None, None, None, 1 0 bn4b9_branch2c[0][0]
res4b8_relu[0][0]
__________________________________________________________________________________________________
res4b9_relu (Activation) (None, None, None, 1 0 res4b9[0][0]
__________________________________________________________________________________________________
res4b10_branch2a (Conv2D) (None, None, None, 2 262144 res4b9_relu[0][0]
__________________________________________________________________________________________________
bn4b10_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b10_branch2a[0][0]
__________________________________________________________________________________________________
res4b10_branch2a_relu (Activati (None, None, None, 2 0 bn4b10_branch2a[0][0]
__________________________________________________________________________________________________
padding4b10_branch2b (ZeroPaddi (None, None, None, 2 0 res4b10_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b10_branch2b (Conv2D) (None, None, None, 2 589824 padding4b10_branch2b[0][0]
__________________________________________________________________________________________________
bn4b10_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b10_branch2b[0][0]
__________________________________________________________________________________________________
res4b10_branch2b_relu (Activati (None, None, None, 2 0 bn4b10_branch2b[0][0]
__________________________________________________________________________________________________
res4b10_branch2c (Conv2D) (None, None, None, 1 262144 res4b10_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b10_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b10_branch2c[0][0]
__________________________________________________________________________________________________
res4b10 (Add) (None, None, None, 1 0 bn4b10_branch2c[0][0]
res4b9_relu[0][0]
__________________________________________________________________________________________________
res4b10_relu (Activation) (None, None, None, 1 0 res4b10[0][0]
__________________________________________________________________________________________________
res4b11_branch2a (Conv2D) (None, None, None, 2 262144 res4b10_relu[0][0]
__________________________________________________________________________________________________
bn4b11_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b11_branch2a[0][0]
__________________________________________________________________________________________________
res4b11_branch2a_relu (Activati (None, None, None, 2 0 bn4b11_branch2a[0][0]
__________________________________________________________________________________________________
padding4b11_branch2b (ZeroPaddi (None, None, None, 2 0 res4b11_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b11_branch2b (Conv2D) (None, None, None, 2 589824 padding4b11_branch2b[0][0]
__________________________________________________________________________________________________
bn4b11_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b11_branch2b[0][0]
__________________________________________________________________________________________________
res4b11_branch2b_relu (Activati (None, None, None, 2 0 bn4b11_branch2b[0][0]
__________________________________________________________________________________________________
res4b11_branch2c (Conv2D) (None, None, None, 1 262144 res4b11_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b11_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b11_branch2c[0][0]
__________________________________________________________________________________________________
res4b11 (Add) (None, None, None, 1 0 bn4b11_branch2c[0][0]
res4b10_relu[0][0]
__________________________________________________________________________________________________
res4b11_relu (Activation) (None, None, None, 1 0 res4b11[0][0]
__________________________________________________________________________________________________
res4b12_branch2a (Conv2D) (None, None, None, 2 262144 res4b11_relu[0][0]
__________________________________________________________________________________________________
bn4b12_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b12_branch2a[0][0]
__________________________________________________________________________________________________
res4b12_branch2a_relu (Activati (None, None, None, 2 0 bn4b12_branch2a[0][0]
__________________________________________________________________________________________________
padding4b12_branch2b (ZeroPaddi (None, None, None, 2 0 res4b12_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b12_branch2b (Conv2D) (None, None, None, 2 589824 padding4b12_branch2b[0][0]
__________________________________________________________________________________________________
bn4b12_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b12_branch2b[0][0]
__________________________________________________________________________________________________
res4b12_branch2b_relu (Activati (None, None, None, 2 0 bn4b12_branch2b[0][0]
__________________________________________________________________________________________________
res4b12_branch2c (Conv2D) (None, None, None, 1 262144 res4b12_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b12_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b12_branch2c[0][0]
__________________________________________________________________________________________________
res4b12 (Add) (None, None, None, 1 0 bn4b12_branch2c[0][0]
res4b11_relu[0][0]
__________________________________________________________________________________________________
res4b12_relu (Activation) (None, None, None, 1 0 res4b12[0][0]
__________________________________________________________________________________________________
res4b13_branch2a (Conv2D) (None, None, None, 2 262144 res4b12_relu[0][0]
__________________________________________________________________________________________________
bn4b13_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b13_branch2a[0][0]
__________________________________________________________________________________________________
res4b13_branch2a_relu (Activati (None, None, None, 2 0 bn4b13_branch2a[0][0]
__________________________________________________________________________________________________
padding4b13_branch2b (ZeroPaddi (None, None, None, 2 0 res4b13_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b13_branch2b (Conv2D) (None, None, None, 2 589824 padding4b13_branch2b[0][0]
__________________________________________________________________________________________________
bn4b13_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b13_branch2b[0][0]
__________________________________________________________________________________________________
res4b13_branch2b_relu (Activati (None, None, None, 2 0 bn4b13_branch2b[0][0]
__________________________________________________________________________________________________
res4b13_branch2c (Conv2D) (None, None, None, 1 262144 res4b13_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b13_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b13_branch2c[0][0]
__________________________________________________________________________________________________
res4b13 (Add) (None, None, None, 1 0 bn4b13_branch2c[0][0]
res4b12_relu[0][0]
__________________________________________________________________________________________________
res4b13_relu (Activation) (None, None, None, 1 0 res4b13[0][0]
__________________________________________________________________________________________________
res4b14_branch2a (Conv2D) (None, None, None, 2 262144 res4b13_relu[0][0]
__________________________________________________________________________________________________
bn4b14_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b14_branch2a[0][0]
__________________________________________________________________________________________________
res4b14_branch2a_relu (Activati (None, None, None, 2 0 bn4b14_branch2a[0][0]
__________________________________________________________________________________________________
padding4b14_branch2b (ZeroPaddi (None, None, None, 2 0 res4b14_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b14_branch2b (Conv2D) (None, None, None, 2 589824 padding4b14_branch2b[0][0]
__________________________________________________________________________________________________
bn4b14_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b14_branch2b[0][0]
__________________________________________________________________________________________________
res4b14_branch2b_relu (Activati (None, None, None, 2 0 bn4b14_branch2b[0][0]
__________________________________________________________________________________________________
res4b14_branch2c (Conv2D) (None, None, None, 1 262144 res4b14_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b14_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b14_branch2c[0][0]
__________________________________________________________________________________________________
res4b14 (Add) (None, None, None, 1 0 bn4b14_branch2c[0][0]
res4b13_relu[0][0]
__________________________________________________________________________________________________
res4b14_relu (Activation) (None, None, None, 1 0 res4b14[0][0]
__________________________________________________________________________________________________
res4b15_branch2a (Conv2D) (None, None, None, 2 262144 res4b14_relu[0][0]
__________________________________________________________________________________________________
bn4b15_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b15_branch2a[0][0]
__________________________________________________________________________________________________
res4b15_branch2a_relu (Activati (None, None, None, 2 0 bn4b15_branch2a[0][0]
__________________________________________________________________________________________________
padding4b15_branch2b (ZeroPaddi (None, None, None, 2 0 res4b15_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b15_branch2b (Conv2D) (None, None, None, 2 589824 padding4b15_branch2b[0][0]
__________________________________________________________________________________________________
bn4b15_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b15_branch2b[0][0]
__________________________________________________________________________________________________
res4b15_branch2b_relu (Activati (None, None, None, 2 0 bn4b15_branch2b[0][0]
__________________________________________________________________________________________________
res4b15_branch2c (Conv2D) (None, None, None, 1 262144 res4b15_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b15_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b15_branch2c[0][0]
__________________________________________________________________________________________________
res4b15 (Add) (None, None, None, 1 0 bn4b15_branch2c[0][0]
res4b14_relu[0][0]
__________________________________________________________________________________________________
res4b15_relu (Activation) (None, None, None, 1 0 res4b15[0][0]
__________________________________________________________________________________________________
res4b16_branch2a (Conv2D) (None, None, None, 2 262144 res4b15_relu[0][0]
__________________________________________________________________________________________________
bn4b16_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b16_branch2a[0][0]
__________________________________________________________________________________________________
res4b16_branch2a_relu (Activati (None, None, None, 2 0 bn4b16_branch2a[0][0]
__________________________________________________________________________________________________
padding4b16_branch2b (ZeroPaddi (None, None, None, 2 0 res4b16_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b16_branch2b (Conv2D) (None, None, None, 2 589824 padding4b16_branch2b[0][0]
__________________________________________________________________________________________________
bn4b16_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b16_branch2b[0][0]
__________________________________________________________________________________________________
res4b16_branch2b_relu (Activati (None, None, None, 2 0 bn4b16_branch2b[0][0]
__________________________________________________________________________________________________
res4b16_branch2c (Conv2D) (None, None, None, 1 262144 res4b16_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b16_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b16_branch2c[0][0]
__________________________________________________________________________________________________
res4b16 (Add) (None, None, None, 1 0 bn4b16_branch2c[0][0]
res4b15_relu[0][0]
__________________________________________________________________________________________________
res4b16_relu (Activation) (None, None, None, 1 0 res4b16[0][0]
__________________________________________________________________________________________________
res4b17_branch2a (Conv2D) (None, None, None, 2 262144 res4b16_relu[0][0]
__________________________________________________________________________________________________
bn4b17_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b17_branch2a[0][0]
__________________________________________________________________________________________________
res4b17_branch2a_relu (Activati (None, None, None, 2 0 bn4b17_branch2a[0][0]
__________________________________________________________________________________________________
padding4b17_branch2b (ZeroPaddi (None, None, None, 2 0 res4b17_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b17_branch2b (Conv2D) (None, None, None, 2 589824 padding4b17_branch2b[0][0]
__________________________________________________________________________________________________
bn4b17_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b17_branch2b[0][0]
__________________________________________________________________________________________________
res4b17_branch2b_relu (Activati (None, None, None, 2 0 bn4b17_branch2b[0][0]
__________________________________________________________________________________________________
res4b17_branch2c (Conv2D) (None, None, None, 1 262144 res4b17_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b17_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b17_branch2c[0][0]
__________________________________________________________________________________________________
res4b17 (Add) (None, None, None, 1 0 bn4b17_branch2c[0][0]
res4b16_relu[0][0]
__________________________________________________________________________________________________
res4b17_relu (Activation) (None, None, None, 1 0 res4b17[0][0]
__________________________________________________________________________________________________
res4b18_branch2a (Conv2D) (None, None, None, 2 262144 res4b17_relu[0][0]
__________________________________________________________________________________________________
bn4b18_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b18_branch2a[0][0]
__________________________________________________________________________________________________
res4b18_branch2a_relu (Activati (None, None, None, 2 0 bn4b18_branch2a[0][0]
__________________________________________________________________________________________________
padding4b18_branch2b (ZeroPaddi (None, None, None, 2 0 res4b18_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b18_branch2b (Conv2D) (None, None, None, 2 589824 padding4b18_branch2b[0][0]
__________________________________________________________________________________________________
bn4b18_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b18_branch2b[0][0]
__________________________________________________________________________________________________
res4b18_branch2b_relu (Activati (None, None, None, 2 0 bn4b18_branch2b[0][0]
__________________________________________________________________________________________________
res4b18_branch2c (Conv2D) (None, None, None, 1 262144 res4b18_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b18_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b18_branch2c[0][0]
__________________________________________________________________________________________________
res4b18 (Add) (None, None, None, 1 0 bn4b18_branch2c[0][0]
res4b17_relu[0][0]
__________________________________________________________________________________________________
res4b18_relu (Activation) (None, None, None, 1 0 res4b18[0][0]
__________________________________________________________________________________________________
res4b19_branch2a (Conv2D) (None, None, None, 2 262144 res4b18_relu[0][0]
__________________________________________________________________________________________________
bn4b19_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b19_branch2a[0][0]
__________________________________________________________________________________________________
res4b19_branch2a_relu (Activati (None, None, None, 2 0 bn4b19_branch2a[0][0]
__________________________________________________________________________________________________
padding4b19_branch2b (ZeroPaddi (None, None, None, 2 0 res4b19_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b19_branch2b (Conv2D) (None, None, None, 2 589824 padding4b19_branch2b[0][0]
__________________________________________________________________________________________________
bn4b19_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b19_branch2b[0][0]
__________________________________________________________________________________________________
res4b19_branch2b_relu (Activati (None, None, None, 2 0 bn4b19_branch2b[0][0]
__________________________________________________________________________________________________
res4b19_branch2c (Conv2D) (None, None, None, 1 262144 res4b19_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b19_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b19_branch2c[0][0]
__________________________________________________________________________________________________
res4b19 (Add) (None, None, None, 1 0 bn4b19_branch2c[0][0]
res4b18_relu[0][0]
__________________________________________________________________________________________________
res4b19_relu (Activation) (None, None, None, 1 0 res4b19[0][0]
__________________________________________________________________________________________________
res4b20_branch2a (Conv2D) (None, None, None, 2 262144 res4b19_relu[0][0]
__________________________________________________________________________________________________
bn4b20_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b20_branch2a[0][0]
__________________________________________________________________________________________________
res4b20_branch2a_relu (Activati (None, None, None, 2 0 bn4b20_branch2a[0][0]
__________________________________________________________________________________________________
padding4b20_branch2b (ZeroPaddi (None, None, None, 2 0 res4b20_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b20_branch2b (Conv2D) (None, None, None, 2 589824 padding4b20_branch2b[0][0]
__________________________________________________________________________________________________
bn4b20_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b20_branch2b[0][0]
__________________________________________________________________________________________________
res4b20_branch2b_relu (Activati (None, None, None, 2 0 bn4b20_branch2b[0][0]
__________________________________________________________________________________________________
res4b20_branch2c (Conv2D) (None, None, None, 1 262144 res4b20_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b20_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b20_branch2c[0][0]
__________________________________________________________________________________________________
res4b20 (Add) (None, None, None, 1 0 bn4b20_branch2c[0][0]
res4b19_relu[0][0]
__________________________________________________________________________________________________
res4b20_relu (Activation) (None, None, None, 1 0 res4b20[0][0]
__________________________________________________________________________________________________
res4b21_branch2a (Conv2D) (None, None, None, 2 262144 res4b20_relu[0][0]
__________________________________________________________________________________________________
bn4b21_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b21_branch2a[0][0]
__________________________________________________________________________________________________
res4b21_branch2a_relu (Activati (None, None, None, 2 0 bn4b21_branch2a[0][0]
__________________________________________________________________________________________________
padding4b21_branch2b (ZeroPaddi (None, None, None, 2 0 res4b21_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b21_branch2b (Conv2D) (None, None, None, 2 589824 padding4b21_branch2b[0][0]
__________________________________________________________________________________________________
bn4b21_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b21_branch2b[0][0]
__________________________________________________________________________________________________
res4b21_branch2b_relu (Activati (None, None, None, 2 0 bn4b21_branch2b[0][0]
__________________________________________________________________________________________________
res4b21_branch2c (Conv2D) (None, None, None, 1 262144 res4b21_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b21_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b21_branch2c[0][0]
__________________________________________________________________________________________________
res4b21 (Add) (None, None, None, 1 0 bn4b21_branch2c[0][0]
res4b20_relu[0][0]
__________________________________________________________________________________________________
res4b21_relu (Activation) (None, None, None, 1 0 res4b21[0][0]
__________________________________________________________________________________________________
res4b22_branch2a (Conv2D) (None, None, None, 2 262144 res4b21_relu[0][0]
__________________________________________________________________________________________________
bn4b22_branch2a (BatchNormaliza (None, None, None, 2 1024 res4b22_branch2a[0][0]
__________________________________________________________________________________________________
res4b22_branch2a_relu (Activati (None, None, None, 2 0 bn4b22_branch2a[0][0]
__________________________________________________________________________________________________
padding4b22_branch2b (ZeroPaddi (None, None, None, 2 0 res4b22_branch2a_relu[0][0]
__________________________________________________________________________________________________
res4b22_branch2b (Conv2D) (None, None, None, 2 589824 padding4b22_branch2b[0][0]
__________________________________________________________________________________________________
bn4b22_branch2b (BatchNormaliza (None, None, None, 2 1024 res4b22_branch2b[0][0]
__________________________________________________________________________________________________
res4b22_branch2b_relu (Activati (None, None, None, 2 0 bn4b22_branch2b[0][0]
__________________________________________________________________________________________________
res4b22_branch2c (Conv2D) (None, None, None, 1 262144 res4b22_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn4b22_branch2c (BatchNormaliza (None, None, None, 1 4096 res4b22_branch2c[0][0]
__________________________________________________________________________________________________
res4b22 (Add) (None, None, None, 1 0 bn4b22_branch2c[0][0]
res4b21_relu[0][0]
__________________________________________________________________________________________________
res4b22_relu (Activation) (None, None, None, 1 0 res4b22[0][0]
__________________________________________________________________________________________________
res5a_branch2a (Conv2D) (None, None, None, 5 524288 res4b22_relu[0][0]
__________________________________________________________________________________________________
bn5a_branch2a (BatchNormalizati (None, None, None, 5 2048 res5a_branch2a[0][0]
__________________________________________________________________________________________________
res5a_branch2a_relu (Activation (None, None, None, 5 0 bn5a_branch2a[0][0]
__________________________________________________________________________________________________
padding5a_branch2b (ZeroPadding (None, None, None, 5 0 res5a_branch2a_relu[0][0]
__________________________________________________________________________________________________
res5a_branch2b (Conv2D) (None, None, None, 5 2359296 padding5a_branch2b[0][0]
__________________________________________________________________________________________________
bn5a_branch2b (BatchNormalizati (None, None, None, 5 2048 res5a_branch2b[0][0]
__________________________________________________________________________________________________
res5a_branch2b_relu (Activation (None, None, None, 5 0 bn5a_branch2b[0][0]
__________________________________________________________________________________________________
res5a_branch2c (Conv2D) (None, None, None, 2 1048576 res5a_branch2b_relu[0][0]
__________________________________________________________________________________________________
res5a_branch1 (Conv2D) (None, None, None, 2 2097152 res4b22_relu[0][0]
__________________________________________________________________________________________________
bn5a_branch2c (BatchNormalizati (None, None, None, 2 8192 res5a_branch2c[0][0]
__________________________________________________________________________________________________
bn5a_branch1 (BatchNormalizatio (None, None, None, 2 8192 res5a_branch1[0][0]
__________________________________________________________________________________________________
res5a (Add) (None, None, None, 2 0 bn5a_branch2c[0][0]
bn5a_branch1[0][0]
__________________________________________________________________________________________________
res5a_relu (Activation) (None, None, None, 2 0 res5a[0][0]
__________________________________________________________________________________________________
res5b_branch2a (Conv2D) (None, None, None, 5 1048576 res5a_relu[0][0]
__________________________________________________________________________________________________
bn5b_branch2a (BatchNormalizati (None, None, None, 5 2048 res5b_branch2a[0][0]
__________________________________________________________________________________________________
res5b_branch2a_relu (Activation (None, None, None, 5 0 bn5b_branch2a[0][0]
__________________________________________________________________________________________________
padding5b_branch2b (ZeroPadding (None, None, None, 5 0 res5b_branch2a_relu[0][0]
__________________________________________________________________________________________________
res5b_branch2b (Conv2D) (None, None, None, 5 2359296 padding5b_branch2b[0][0]
__________________________________________________________________________________________________
bn5b_branch2b (BatchNormalizati (None, None, None, 5 2048 res5b_branch2b[0][0]
__________________________________________________________________________________________________
res5b_branch2b_relu (Activation (None, None, None, 5 0 bn5b_branch2b[0][0]
__________________________________________________________________________________________________
res5b_branch2c (Conv2D) (None, None, None, 2 1048576 res5b_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn5b_branch2c (BatchNormalizati (None, None, None, 2 8192 res5b_branch2c[0][0]
__________________________________________________________________________________________________
res5b (Add) (None, None, None, 2 0 bn5b_branch2c[0][0]
res5a_relu[0][0]
__________________________________________________________________________________________________
res5b_relu (Activation) (None, None, None, 2 0 res5b[0][0]
__________________________________________________________________________________________________
res5c_branch2a (Conv2D) (None, None, None, 5 1048576 res5b_relu[0][0]
__________________________________________________________________________________________________
bn5c_branch2a (BatchNormalizati (None, None, None, 5 2048 res5c_branch2a[0][0]
__________________________________________________________________________________________________
res5c_branch2a_relu (Activation (None, None, None, 5 0 bn5c_branch2a[0][0]
__________________________________________________________________________________________________
padding5c_branch2b (ZeroPadding (None, None, None, 5 0 res5c_branch2a_relu[0][0]
__________________________________________________________________________________________________
res5c_branch2b (Conv2D) (None, None, None, 5 2359296 padding5c_branch2b[0][0]
__________________________________________________________________________________________________
bn5c_branch2b (BatchNormalizati (None, None, None, 5 2048 res5c_branch2b[0][0]
__________________________________________________________________________________________________
res5c_branch2b_relu (Activation (None, None, None, 5 0 bn5c_branch2b[0][0]
__________________________________________________________________________________________________
res5c_branch2c (Conv2D) (None, None, None, 2 1048576 res5c_branch2b_relu[0][0]
__________________________________________________________________________________________________
bn5c_branch2c (BatchNormalizati (None, None, None, 2 8192 res5c_branch2c[0][0]
__________________________________________________________________________________________________
res5c (Add) (None, None, None, 2 0 bn5c_branch2c[0][0]
res5b_relu[0][0]
__________________________________________________________________________________________________
res5c_relu (Activation) (None, None, None, 2 0 res5c[0][0]
__________________________________________________________________________________________________
C5_reduced (Conv2D) (None, None, None, 2 524544 res5c_relu[0][0]
__________________________________________________________________________________________________
P5_upsampled (UpsampleLike) (None, None, None, 2 0 C5_reduced[0][0]
res4b22_relu[0][0]
__________________________________________________________________________________________________
C4_reduced (Conv2D) (None, None, None, 2 262400 res4b22_relu[0][0]
__________________________________________________________________________________________________
P4_merged (Add) (None, None, None, 2 0 P5_upsampled[0][0]
C4_reduced[0][0]
__________________________________________________________________________________________________
P4_upsampled (UpsampleLike) (None, None, None, 2 0 P4_merged[0][0]
res3b3_relu[0][0]
__________________________________________________________________________________________________
C3_reduced (Conv2D) (None, None, None, 2 131328 res3b3_relu[0][0]
__________________________________________________________________________________________________
P6 (Conv2D) (None, None, None, 2 4718848 res5c_relu[0][0]
__________________________________________________________________________________________________
P3_merged (Add) (None, None, None, 2 0 P4_upsampled[0][0]
C3_reduced[0][0]
__________________________________________________________________________________________________
C6_relu (Activation) (None, None, None, 2 0 P6[0][0]
__________________________________________________________________________________________________
P3 (Conv2D) (None, None, None, 2 590080 P3_merged[0][0]
__________________________________________________________________________________________________
P4 (Conv2D) (None, None, None, 2 590080 P4_merged[0][0]
__________________________________________________________________________________________________
P5 (Conv2D) (None, None, None, 2 590080 C5_reduced[0][0]
__________________________________________________________________________________________________
P7 (Conv2D) (None, None, None, 2 590080 C6_relu[0][0]
__________________________________________________________________________________________________
regression_submodel (Model) (None, None, 4) 2443300 P3[0][0]
P4[0][0]
P5[0][0]
P6[0][0]
P7[0][0]
__________________________________________________________________________________________________
classification_submodel (Model) (None, None, 443) 11550355 P3[0][0]
P4[0][0]
P5[0][0]
P6[0][0]
P7[0][0]
__________________________________________________________________________________________________
regression (Concatenate) (None, None, 4) 0 regression_submodel[1][0]
regression_submodel[2][0]
regression_submodel[3][0]
regression_submodel[4][0]
regression_submodel[5][0]
__________________________________________________________________________________________________
classification (Concatenate) (None, None, 443) 0 classification_submodel[1][0]
classification_submodel[2][0]
classification_submodel[3][0]
classification_submodel[4][0]
classification_submodel[5][0]
==================================================================================================
Total params: 64,596,599
Trainable params: 4,803,620
Non-trainable params: 59,792,979
__________________________________________________________________________________________________
None
Learning rate: 9.999999747378752e-06
Learning rate: 9.999999747378752e-06
/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/callbacks.py:1065: UserWarning: `epsilon` argument is deprecated and will be removed, use `min_delta` instead.
warnings.warn('`epsilon` argument is deprecated and '
Init epoch: 0
Epoch 1/500
2020-03-09 01:05:04.371903: W tensorflow/core/framework/allocator.cc:124] Allocation of 523252224 exceeds 10% of system memory.
2020-03-09 01:05:16.393671: W tensorflow/core/common_runtime/bfc_allocator.cc:267] Allocator (GPU_0_bfc) ran out of memory trying to allocate 401.99MiB. Current allocation summary follows.
2020-03-09 01:05:16.393795: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (256): Total Chunks: 126, Chunks in use: 126. 31.5KiB allocated for chunks. 31.5KiB in use in bin. 10.2KiB client-requested in use in bin.
2020-03-09 01:05:16.393836: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (512): Total Chunks: 35, Chunks in use: 35. 17.5KiB allocated for chunks. 17.5KiB in use in bin. 17.4KiB client-requested in use in bin.
2020-03-09 01:05:16.393868: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (1024): Total Chunks: 258, Chunks in use: 256. 262.5KiB allocated for chunks. 259.2KiB in use in bin. 258.8KiB client-requested in use in bin. 2020-03-09 01:05:16.393896: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (2048): Total Chunks: 46, Chunks in use: 46. 92.0KiB allocated for chunks. 92.0KiB in use in bin. 92.0KiB client-requested in use in bin.
2020-03-09 01:05:16.393928: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (4096): Total Chunks: 98, Chunks in use: 98. 392.0KiB allocated for chunks. 392.0KiB in use in bin. 392.0KiB client-requested in use in bin.
2020-03-09 01:05:16.393957: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (8192): Total Chunks: 20, Chunks in use: 20. 175.5KiB allocated for chunks. 175.5KiB in use in bin. 175.1KiB client-requested in use in bin.
2020-03-09 01:05:16.393984: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (16384): Total Chunks: 1, Chunks in use: 1. 16.0KiB allocated for chunks. 16.0KiB in use in bin. 16.0KiB client-requested in use in bin. 2020-03-09 01:05:16.394019: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (32768): Total Chunks: 2, Chunks in use: 1. 70.0KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin. 2020-03-09 01:05:16.394048: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (65536): Total Chunks: 13, Chunks in use: 12. 1.03MiB allocated for chunks. 960.0KiB in use in bin. 960.0KiB client-requested in use in bin. 2020-03-09 01:05:16.394074: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (131072): Total Chunks: 7, Chunks in use: 7. 1.10MiB allocated for chunks. 1.10MiB in use in bin. 848.0KiB client-requested in use in bin. 2020-03-09 01:05:16.394104: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (262144): Total Chunks: 19, Chunks in use: 17. 5.96MiB allocated for chunks. 5.21MiB in use in bin. 5.21MiB client-requested in use in bin. 2020-03-09 01:05:16.394132: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (524288): Total Chunks: 9, Chunks in use: 9. 5.44MiB allocated for chunks. 5.44MiB in use in bin. 4.44MiB client-requested in use in bin. 2020-03-09 01:05:16.394164: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (1048576): Total Chunks: 57, Chunks in use: 56. 63.04MiB allocated for chunks. 61.58MiB in use in bin. 60.96MiB client-requested in use in bin. 2020-03-09 01:05:16.394195: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (2097152): Total Chunks: 74, Chunks in use: 73. 171.73MiB allocated for chunks. 167.90MiB in use in bin. 164.13MiB client-requested in use in bin.
2020-03-09 01:05:16.394222: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (4194304): Total Chunks: 15, Chunks in use: 15. 80.00MiB allocated for chunks. 80.00MiB in use in bin. 80.00MiB client-requested in use in bin. 2020-03-09 01:05:16.394251: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (8388608): Total Chunks: 4, Chunks in use: 4. 40.00MiB allocated for chunks. 40.00MiB in use in bin. 35.00MiB client-requested in use in bin. 2020-03-09 01:05:16.394283: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (16777216): Total Chunks: 13, Chunks in use: 12. 321.31MiB allocated for chunks. 292.11MiB in use in bin. 281.36MiB client-requested in use in bin.
2020-03-09 01:05:16.394315: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (33554432): Total Chunks: 1, Chunks in use: 1. 35.04MiB allocated for chunks. 35.04MiB in use in bin. 35.04MiB client-requested in use in bin. 2020-03-09 01:05:16.394347: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (67108864): Total Chunks: 5, Chunks in use: 4. 458.94MiB allocated for chunks. 365.50MiB in use in bin. 336.54MiB client-requested in use in bin. 2020-03-09 01:05:16.394379: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (134217728): Total Chunks: 2, Chunks in use: 1. 332.28MiB allocated for chunks. 159.50MiB in use in bin. 93.45MiB client-requested in use in bin. 2020-03-09 01:05:16.394409: I tensorflow/core/common_runtime/bfc_allocator.cc:597] Bin (268435456): Total Chunks: 15, Chunks in use: 14. 5.96GiB allocated for chunks. 5.70GiB in use in bin. 5.47GiB client-requested in use in bin. 2020-03-09 01:05:16.394437: I tensorflow/core/common_runtime/bfc_allocator.cc:613] Bin for 401.99MiB was 256.00MiB, Chunk State:
2020-03-09 01:05:16.394474: I tensorflow/core/common_runtime/bfc_allocator.cc:619] Size: 273.78MiB | Requested Size: 0B | in_use: 0, prev: Size: 401.99MiB | Requested Size: 401.99MiB | in_use: 1
2020-03-09 01:05:16.394506: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3784000000 of size 421521664
2020-03-09 01:05:16.394530: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f379d1fe900 of size 421521664
2020-03-09 01:05:16.394551: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f37b63fd200 of size 421521664
2020-03-09 01:05:16.394572: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Free at 0x7f37cf5fbb00 of size 287075072
2020-03-09 01:05:16.394594: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f37ec000000 of size 105380608
2020-03-09 01:05:16.394616: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f37f247fb00 of size 105380608
2020-03-09 01:05:16.394638: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Free at 0x7f37f88ff600 of size 181176832
2020-03-09 01:05:16.394660: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f38035c8000 of size 391938048
2020-03-09 01:05:16.394683: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f381ab90000 of size 522073856
2020-03-09 01:05:16.394704: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3839d73700 of size 421521664
2020-03-09 01:05:16.394726: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3852f72000 of size 421521664
2020-03-09 01:05:16.394747: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f386c170900 of size 421521664
2020-03-09 01:05:16.394768: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f388536f200 of size 421521664
2020-03-09 01:05:16.394789: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f389e56db00 of size 421521664
2020-03-09 01:05:16.394810: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f38b776c400 of size 421521664
2020-03-09 01:05:16.394829: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f38d096ad00 of size 459887360
2020-03-09 01:05:16.394852: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f392a000000 of size 105380608
2020-03-09 01:05:16.394873: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f393047fb00 of size 421521664
2020-03-09 01:05:16.394895: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f394967e400 of size 25165824
2020-03-09 01:05:16.394916: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f394ae7e400 of size 25165824
2020-03-09 01:05:16.394934: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f394c67e400 of size 6291456
2020-03-09 01:05:16.394954: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f394cc7e400 of size 6291456
2020-03-09 01:05:16.394974: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f394d27e400 of size 25165824
2020-03-09 01:05:16.394995: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f394ea7e400 of size 25165824
2020-03-09 01:05:16.395016: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Free at 0x7f395027e400 of size 30620160
2020-03-09 01:05:16.395036: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3951fb1e00 of size 6291456
2020-03-09 01:05:16.395057: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f39525b1e00 of size 6291456
2020-03-09 01:05:16.395078: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3952bb1e00 of size 24496128
2020-03-09 01:05:16.395100: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f395430e600 of size 25165824
2020-03-09 01:05:16.395120: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3955b0e600 of size 25165824
2020-03-09 01:05:16.395141: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Free at 0x7f395730e600 of size 97984512
2020-03-09 01:05:16.395162: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f395d080600 of size 25165824
2020-03-09 01:05:16.395183: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f395e880600 of size 25165824
2020-03-09 01:05:16.395204: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3960080600 of size 167246336
2020-03-09 01:05:16.395227: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3994000000 of size 2359296
2020-03-09 01:05:16.395248: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3994240000 of size 2359296
2020-03-09 01:05:16.395270: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3994480000 of size 3806208
2020-03-09 01:05:16.395292: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3994821400 of size 528346112
2020-03-09 01:05:16.395314: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64000000 of size 1048576
2020-03-09 01:05:16.395335: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64100000 of size 1048576
2020-03-09 01:05:16.395356: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64200000 of size 1048576
2020-03-09 01:05:16.395376: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64300000 of size 1048576
2020-03-09 01:05:16.395397: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64400000 of size 1048576
2020-03-09 01:05:16.395418: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64500000 of size 1048576
2020-03-09 01:05:16.395439: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64600000 of size 1048576
2020-03-09 01:05:16.395461: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64700000 of size 1048576
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2020-03-09 01:05:16.395502: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64900000 of size 1048576
2020-03-09 01:05:16.395522: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64a00000 of size 1048576
2020-03-09 01:05:16.395544: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64b00000 of size 1048576
2020-03-09 01:05:16.395565: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64c00000 of size 1048576
2020-03-09 01:05:16.395586: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64d00000 of size 1048576
2020-03-09 01:05:16.395606: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64e00000 of size 1048576
2020-03-09 01:05:16.395627: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64f00000 of size 524288
2020-03-09 01:05:16.395649: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b64f80000 of size 2097152
2020-03-09 01:05:16.395671: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b65180000 of size 262144
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2020-03-09 01:05:16.395754: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f3b65280000 of size 589824
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2020-03-09 01:05:16.401750: I tensorflow/core/common_runtime/bfc_allocator.cc:641] 126 Chunks of size 256 totalling 31.5KiB
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2020-03-09 01:05:16.401980: I tensorflow/core/common_runtime/bfc_allocator.cc:641] 1 Chunks of size 459887360 totalling 438.58MiB
2020-03-09 01:05:16.401985: I tensorflow/core/common_runtime/bfc_allocator.cc:641] 1 Chunks of size 522073856 totalling 497.89MiB
2020-03-09 01:05:16.401990: I tensorflow/core/common_runtime/bfc_allocator.cc:641] 1 Chunks of size 528346112 totalling 503.87MiB
2020-03-09 01:05:16.401994: I tensorflow/core/common_runtime/bfc_allocator.cc:645] Sum Total of in-use chunks: 6.88GiB 2020-03-09 01:05:16.401999: I tensorflow/core/common_runtime/bfc_allocator.cc:647] Stats:
Limit: 7995139687
InUse: 7391814144
MaxInUse: 7391814144
NumAllocs: 2535
MaxAllocSize: 2389552128
2020-03-09 01:05:16.402024: W tensorflow/core/common_runtime/bfc_allocator.cc:271] ****************___****_********************************************************************x*******
2020-03-09 01:05:16.402045: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at constant_op.cc:273 : Resource exhausted: OOM when allocating tensor with shape[237879,443] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
Traceback (most recent call last):
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/eclab/hhw/ZLnew/Keras-RetinaNet-for-Open-Images-Challenge-2018/retinanet_training_level_1/train_oid_level_1_resnet101.py", line 448, in <module>
main(params)
File "/home/eclab/hhw/ZLnew/Keras-RetinaNet-for-Open-Images-Challenge-2018/retinanet_training_level_1/train_oid_level_1_resnet101.py", line 424, in main
initial_epoch=init_epoch,
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/engine/training_generator.py", line 217, in fit_generator
class_weight=class_weight)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/engine/training.py", line 1217, in train_on_batch
outputs = self.train_function(ins)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 2715, in __call__
return self._call(inputs)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 2675, in _call
fetched = self._callable_fn(*array_vals)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1439, in __call__
run_metadata_ptr)
File "/home/eclab/anaconda3/envs/p35/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[237879,443] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node training/Adam/gradients/loss/classification_loss/logistic_loss/Select_1_grad/zeros_like}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
[[{{node loss/add}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
My env:
ubuntu 18.04
i7-8700k
56G RAM
NV Driver Version: 440.59
cuda 10.0
cudnn 7.4
keras 2.2.4
keras-retinanet 0.4.1
if any more information needed, please tell me.
tks
How can I add an color augmentation into the transform.py?
Hi~ I decide to use your model as my pretrained model，but I‘ve found that there's no color augmentation in the generator，and it seems that the keras-retinanet use a modified transform generator， can you help me with that？Thank you very much~
Tensorflow & Keras version issues
Hi, I tried with various versions of tensorflow and keras, but not able to run the code. If possible add the requirements.txt.
Converting to generator CSV file
I have a csv file like:
''' image path, x, x+w, y , y+h '''
There is no class label.
I am having a hard time understanding how to convert this into csv that this code can read. OR generator of keras-retinanet if for that i have to convert
Inferring on Level 2 by the model
The repo is easy to use but there was one thing I wanted to check. I wanted to make inference on Level 2 and not Level 1. Hence I was thinking is it possible to do, this without having to train a model by keeping your model as backbone.
issue about doing the inference
i have some issues when i try to do the inference. After building and compiling the project "keras-retinanet"， should i just put the whole project "keras-retinanet" into this repository?
Hi, how to use multi gpus?
I use 8 gpus for infenrence, but it is slowly than 1 gpu......
I changed 'gpu_use = 0' to 'gpu_use = 0,1,2,3,4,5,6,7' in retinanet_inference_example.py.
Is it right?
my predict method i taking too much time even i am using GPU with 8 GB ram why is it taking too much time
my predict method i taking too much time even i am using GPU with 8 GB ram why is it taking too much time
i am using retinanet_resnet152_500_classes_0.4991.h5
that pretrained model
how to save the detected image?
how can i save the image after inference?
how to replace NMS with a different version
Hi ZFTurbo :) I have written an algorithm to replace NMS, and implemented it on FastAi. I've been trying to implement it in the original keras-retinanet, but I'm running into a lot of issues. I cannot even set NMS to False, let alone make changes to the code. I have installed the repo and scripts, and compiled changes in PyCharm and on the command line, but the value of NMS remains set to True. Do you have any ideas as to what I may be doing wrong? How would I make changes to the code in your repo?
Hi,I have a error in run inference!
I get this error like this:
FileNotFoundError: [Errno 2] No such file or directory: '/home/a/Bcw_data/open-image-challenge/input/class-descriptions-boxable.csv'
I want to know the '.csv' is where.
Scores are VERY LOW ? Any reason why ?
I use standard codes from your git. Load BGR fast - preprocess input - resize - predict on batch - rescale... !
from keras_retinanet.utils.image import read_image_bgr, preprocess_image, resize_image
from keras_retinanet import models
model_path = './V2_2019/retinanet_resnet50_500_classes_0.4594_converted.h5'
backbone = 'resnet50'
with tf.device('/gpu:0'):
model = models.load_model(model_path, backbone_name=backbone)
model.compile()
model.trainable = False
Just a desk with a computer on top of it
img_original = cv2.imread('./samples/game_desk.jpg')
image = preprocess_image(img_original)
if backbone == 'resnet152':
image, scale = resize_image(image, min_side=600, max_side=800)
elif backbone == 'resnet101':
image, scale = resize_image(image, min_side=768, max_side=1024)
else:
image, scale = resize_image(image, min_side=768, max_side=1024)
image = np.expand_dims(image, 0)
boxes, scores, labels = model.predict_on_batch(image)
boxes /= scale
Score VERY low < 0.02
print (scores)
array([0.08214764, 0.06412603, 0.05601705, 0.04571734, 0.04532317,
0.04468972, 0.04217904, 0.0407993 , 0.04019322, 0.03925166,
0.03771246, 0.03559722, 0.03550753, 0.03535734, 0.03532328,
0.0347053 , 0.03449641, 0.03443889, 0.03411521, 0.03362035,
0.033617 , 0.03343837, 0.03295262, 0.03294588, 0.03240565,
0.03233369, 0.03231934, 0.03231192, 0.03228894, 0.03184201,
0.03163914, 0.03142316, 0.03140194, 0.0305719 , 0.03034266,
0.03030455, 0.03029803, 0.03000976, 0.02984777, 0.02961908,
0.02949041, 0.02917261, 0.02893128, 0.02877107, 0.02872788,
0.02867853, 0.02866829, 0.0285997 , 0.02834851, 0.02830449,
0.02773562, 0.02763576, 0.02745436, 0.02736399, 0.02731292,
0.02712597, 0.02694507, 0.02694022, 0.02692809, 0.02675896,
0.02671816, 0.02668723, 0.02654719, 0.02654446, 0.02651278,
0.0264549 , 0.026398 , 0.02639764, 0.02601669, 0.02560534,
0.0253144 , 0.02520229, 0.02512381, 0.02475631, 0.0247244 ,
0.02455944, 0.02450828, 0.02446357, 0.02437781, 0.02436773,
0.02435246, 0.02424899, 0.02402328, 0.02395525, 0.02381209,
0.02377224, 0.02369539, 0.02356794, 0.0235479 , 0.0233748 ,
0.02336434, 0.02326049, 0.02324282, 0.02312373, 0.02303222,
0.02300981, 0.02295618, 0.02285378, 0.02283458, 0.02282603,
0.02278564, 0.02276726, 0.022741 , 0.02266823, 0.02264441,
0.02259097, 0.02254979, 0.02235727, 0.02219211, 0.02204609,
0.02202853, 0.02202193, 0.02199629, 0.02196247, 0.02188792,
0.02186287, 0.02176195, 0.02174086, 0.0217198 , 0.02163081,
0.02161748, 0.0215974 , 0.02155071, 0.02153325, 0.02152195,
0.02146714, 0.02137102, 0.02122512, 0.02118728, 0.02110581,
0.02107801, 0.02107615, 0.02100795, 0.02091308, 0.02087946,
0.02075831, 0.02068732, 0.02068458, 0.0206733 , 0.02065487,
0.02064842, 0.02061027, 0.02059928, 0.02053488, 0.0205096 ,
0.02050141, 0.02038281, 0.02028204, 0.02025107, 0.02013932,
0.02012402, 0.02007895, 0.02002274, 0.01998274, 0.01993219,
0.01991616, 0.01991414, 0.01989718, 0.01984977, 0.01970827,
0.01965398, 0.01959964, 0.019573 , 0.01955963, 0.01952934,
0.01952427, 0.01947998, 0.01947166, 0.01943158, 0.01938101,
0.0193553 , 0.0193505 , 0.0193419 , 0.01926245, 0.01925097,
0.01923176, 0.01919156, 0.0191825 , 0.01916005, 0.01915716,
0.01915331, 0.01907359, 0.01903782, 0.01903422, 0.01886127,
0.01882554, 0.01882288, 0.01880884, 0.01879298, 0.01877416,
0.0187136 , 0.01869194, 0.01864838, 0.01862114, 0.01856415,
0.01852076, 0.01851707, 0.01841055, 0.01830504, 0.01828685,
0.01826145, 0.01808002, 0.01807458, 0.01805865, 0.01804617,
0.01802996, 0.01799886, 0.01799701, 0.01798505, 0.01796073,
0.01791422, 0.01787511, 0.01786785, 0.01783917, 0.01782647,
0.01782295, 0.017804 , 0.01779966, 0.01776807, 0.01773656,
0.01773415, 0.01771753, 0.01765338, 0.01763948, 0.01763309,
0.01754763, 0.01745315, 0.01745139, 0.01744092, 0.01737041,
0.01735855, 0.01733752, 0.01732908, 0.01731344, 0.01730322,
0.01728839, 0.01728693, 0.01728606, 0.01725296, 0.01721361,
0.01719457, 0.01715928, 0.01714384, 0.01714236, 0.0171222 ,
0.01710992, 0.01710517, 0.01710477, 0.01710331, 0.01703121,
0.01702078, 0.01698007, 0.01697412, 0.01691954, 0.01690822,
0.01690313, 0.01689106, 0.01688855, 0.01688655, 0.0168758 ,
0.01687372, 0.01686491, 0.01683687, 0.01682049, 0.01680447,
0.01675804, 0.01673518, 0.016731 , 0.01670613, 0.01670535,
0.01668603, 0.0166858 , 0.016675 , 0.01664689, 0.01664315,
0.01664168, 0.01663797, 0.01660788, 0.01651526, 0.01648847,
0.01648645, 0.01647347, 0.0164711 , 0.01645983, 0.01645834,
0.01639759, 0.01637122, 0.01635642, 0.01634395, 0.01631755,
0.01631425, 0.01630697, 0.01623704, 0.01623303, 0.01621181,
0.01619908, 0.01619218, 0.01618169, 0.01616813, 0.01615441,
0.01613769, 0.01612569, 0.01609127, 0.01608051, 0.01606488,
0.01605342, 0.01601542, 0.01600378, 0.0159909 , 0.01598511,
0.01597465, 0.01597111, 0.01594019, 0.01593833, 0.01592567,
0.01592559, 0.01592326, 0.01591412, 0.01588383, 0.01580828,
0.01577081, 0.01575238, 0.01573619, 0.01572976, 0.01572463,
0.01571544, 0.01568853, 0.01568788, 0.0156276 , 0.0155335 ,
0.01552813, 0.01551286, 0.01551169, 0.0155008 , 0.01549527,
0.01548694, 0.01547107, 0.01542627, 0.01541719, 0.01541673,
0.01537991, 0.01535395, 0.01534628, 0.01532152, 0.01531945,
0.01528668, 0.01526955, 0.0152673 , 0.01525957, 0.01524647,
0.01523589, 0.01523018, 0.01516183, 0.01515407, 0.01514555,
0.015122 , 0.01509092, 0.01507152, 0.01503686, 0.01499089,
0.01498514, 0.01497624, 0.01497196, 0.01496111, 0.01492574,
0.01492423, 0.01488356, 0.01487318, 0.0148725 , 0.01484371,
0.01479802, 0.01474583, 0.014719 , 0.01470845, 0.01467155,
0.0146449 , 0.01460885, 0.0146025 , 0.0145999 , 0.01459682,
0.01458213, 0.01454482, 0.01454314, 0.01451374, 0.01451205,
0.01449863, 0.01448859, 0.01448602, 0.01448327, 0.01448127,
0.01445706, 0.01445499, 0.01444459, 0.01440722, 0.01435124,
0.01433683, 0.01432857, 0.01430823, 0.01430715, 0.01429551,
0.01429512, 0.01427863, 0.01427618, 0.01426682, 0.0142658 ,
0.01426438, 0.01426058, 0.01421182, 0.0142017 , 0.01420126,
0.01419849, 0.01417918, 0.01417739, 0.01417049, 0.01416892,
0.01416264, 0.01414542, 0.01410483, 0.01410451, 0.01409259,
0.01408876, 0.01408308, 0.01407129, 0.01405199, 0.01404307,
0.014027 , 0.01402546, 0.01402516, 0.01401052, 0.0139996 ,
0.01399539, 0.0139544 , 0.01391214, 0.01391209, 0.01390835,
0.01389581, 0.01389261, 0.01388537, 0.01387862, 0.01387742,
0.01385583, 0.01385332, 0.01385325, 0.01385231, 0.01384612,
0.01384006, 0.0138303 , 0.01381997, 0.01381968, 0.01381563,
0.01380857, 0.01379374, 0.01378763, 0.01378338, 0.01375897,
0.01374664, 0.01373788, 0.01373085, 0.01373054, 0.01370686,
0.01370504, 0.01368415, 0.01366565, 0.01365494, 0.01363912,
0.01362417, 0.01360297, 0.01356894, 0.0135677 , 0.01355875,
0.0135521 , 0.01354888, 0.01354833, 0.01354402, 0.01354092,
0.01353594, 0.01352648, 0.01352525, 0.01351777, 0.01351391,
0.01347948, 0.0134619 , 0.01346125, 0.01346116, 0.01343589,
0.01342112, 0.01342111, 0.01339529, 0.01338935, 0.01337699,
0.01336935, 0.01336927, 0.01336415, 0.01336333, 0.01335588,
0.01334759, 0.0133341 , 0.01332073, 0.01330884, 0.01328763],
dtype=float32)
Any idea?
Thanks,
Steve
KeyError:'Aspparagus'
when I run create_files_for_training_by_levels，I received KeyError:'Aspparagus'.
I was confused, this is why, where is the error?
Detailed hyperparameters for training
Hi, thanks for your sharing.
I found lr=1e-5, batch=1, single_gpu training in training scripts.
However, in my opinion, this setting may not be optimal for large dataset (OID)
Can I ask you to share the detailed hyper-parameters for training OID?
training stuck at the beginning
Hello, I started training as README says and download the data from .
when running retinanet_training_level_1/find_image_parameters.py
I couldn't really start training.
The program stuck at the output Labels length: 443 for more than two days.
I found the code stuck at line 332 of retinanet_training_level_1/open_images_generator.py
It is a while loop trying to get a batch of images to train, which only breaks when len(self.class_index_array[random_class]) > 0:
I print out self.class_index_array, it has 443 lists and every list is empty.
Is this normal or can you help me fix this? thank you.
This is my environment:
python 3.5.6
tensorflow-gpu 1.14.0
keras 2.2.5
keras-applications 1.0.8
keras-preprocessing 1.1.0
keras-resnet 0.1.0
keras-retinanet 0.4.1
opencv 3.4.2
if any more information is needed, please tell me.
Thanks for your help.
GPU memory in inference
Hi, @ZFTurbo ,
I find the gpu memory during inference is so large (at least 2g, resnet50 backbone)
Do you have any idea to save the gpu memory ? Thanks in advance.
if i have to add new class with images and then train with pretrained model how could we do it?
Could you please help me with the soft-nms
In your kaggle post, I see you used the soft-nms, I have difficuty with it, I can't find your soft-nms code in this git.
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