Comments (7)
@Jasonsun1993
Problem solved, I changed the learning rate of training to 0.5 (original code use the default 0.01,which is very small considering training from scratch):
OPT = tf.train.AdadeltaOptimizer()
change to
OPT = tf.train.AdadeltaOptimizer(learning_rate=0.5)
from ssd_tensorflow_traffic_sign_detection.
I have the same problem. The trainning loss at beginning is over 800, and so as the validation loss. And after about 20000 round training, it drop to about 200.
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I did some edit to some api, so it can train under tensorflow1.4.1 . Besides this, nothing changed.
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@xinxueying After training, did you test the images in samples_images folder? Did it have good results?
from ssd_tensorflow_traffic_sign_detection.
@xinxueying Really? Did you train the whole data set?? How about the results?? Besides, can I have your Wechat number? I want to discuss about this code further.
from ssd_tensorflow_traffic_sign_detection.
Have you got the dataset? I can't open the link LISA Traffic Sign Dataset(http://cvrr.ucsd.edu/LISA/lisa-traffic-sign-dataset.html). If you got the dataset, could you please send it to me?
from ssd_tensorflow_traffic_sign_detection.
@xinxueying what is the val loss when u ended training?
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Related Issues (20)
- image not getting saved in inference_out
- error when run
- TypeError: Expected int32, got list containing Tensors of type '_Message' instead. HOT 6
- Error when run inference.py HOT 2
- About mergedAnnotations.csv
- Improve the effect?
- loss when end training HOT 1
- Help me out~ HOT 1
- 按照LISA交通标志数据集中的说明创建'mergedAnnotations.csv',以便仅显示停车标志和人行横道标志
- accuracy 怎么写呢
- The use of the DEFAULT BOX
- please help me, i am stuck in running inference.py HOT 1
- why USE
- Why use Alexnet instead of VGG?
- Exception running inference.py HOT 2
- ValueError: Dimension 1 in both shapes must be equal, but are 1152 and 288. Shapes are [?,1152] and [?,288]. From merging shape 2 with other shapes. for 'concat/concat_dim' (op: 'Pack') with input shapes: [?,17856], [?,4140], [?,1152], [?,288]. HOT 2
- I have a probelm running inference.py -m demo HOT 1
- This model doesn't predict on new images?
- where are the extractAnnotations.py and mergeAnnotationFiles.py? HOT 1
- This model doesn't predict on new images?
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from ssd_tensorflow_traffic_sign_detection.