Comments (5)
@nththanh Can you please share your results ??
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my result
Result | Final |
---|---|
aeroplane | 0.526 |
bicycle | 0.522 |
bird | 0.289 |
boat | 0.335 |
bottle | 0.107 |
bus | 0.557 |
car | 0.625 |
cat | 0.498 |
chair | 0.254 |
cow | 0.373 |
diningtable | 0.445 |
dog | 0.419 |
horse | 0.645 |
motorbike | 0.574 |
person | 0.536 |
pottedplant | 0.135 |
sheep | 0.392 |
sofa | 0.392 |
train | 0.645 |
tvmonitor | 0.376 |
Mean AP | 0.432 |
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Thanks @nththanh . I will update you on my results soon.
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79.88% = aeroplane AP
90.25% = bicycle AP
69.46% = bird AP
62.76% = boat AP
50.18% = bottle AP
84.41% = bus AP
87.49% = car AP
83.97% = cat AP
53.00% = chair AP
79.05% = cow AP
69.53% = diningtable AP
84.65% = dog AP
85.32% = horse AP
83.41% = motorbike AP
75.41% = person AP
34.76% = pottedplant AP
69.08% = sheep AP
69.06% = sofa AP
89.85% = train AP
78.13% = tvmonitor AP
mAP = 73.98%
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79.88% = aeroplane AP
90.25% = bicycle AP
69.46% = bird AP
62.76% = boat AP
50.18% = bottle AP
84.41% = bus AP
87.49% = car AP
83.97% = cat AP
53.00% = chair AP
79.05% = cow AP
69.53% = diningtable AP
84.65% = dog AP
85.32% = horse AP
83.41% = motorbike AP
75.41% = person AP
34.76% = pottedplant AP
69.08% = sheep AP
69.06% = sofa AP
89.85% = train AP
78.13% = tvmonitor AP
mAP = 73.98%
Would you kindly provide the config file? I trying to reproduce your result.
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Related Issues (20)
- I wrote how to run on mac os.
- The test for coco2017 and get mAP 0.0? model is m2det512_vgg.pth
- train error HOT 5
- 论文中有一处错误
- Are you using batch size 8 for bn update?
- Why adjust_learning_rate() only refers to step_lr of COCO? HOT 1
- can anyone explain what is the loss_L and loss_c in the training results ? HOT 1
- AttributeError: 'CustomDataset' object has no attribute 'evaluate_detections'AttributeError: 'CustomDataset' object has no attribute 'evaluate_detections'
- Two question about upsample process
- error when run demo.py
- RuntimeError: all tensors must be on devices[0] HOT 1
- mAP精度问题
- On which dataset was m2det512_vgg.pth trained?
- Hard Negative Mining problem
- demo | qt.qpa.xcb: could not connect to display HOT 1
- Does anyone have the weight of resnet101 HOT 1
- File "home/CLNet/main.py", line 87, in <module> main () File "home/CLNet/main.py", line 25, in main model = init_model(args) File "/content/drive/My Drive/home/CLNet/utils/init.py", line 51, in init_model model.load_state_dict(state_dict) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1407, in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for CLNet: HOT 1
- GFLOPs!!!
- ImportError: /home/wdc/M2Det/utils/nms/gpu_nms.cpython-37m-x86_64-linux-gnu.so: undefined symbol: cudaSetupArgument
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