FCOS
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FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Export the ONNX model using the script and visualized by Netron, the output head seems to be incorrect ? 
hi,my class is 5 including the bacground,i what to ask you why my map all is 1.0, do you know what factors might cause this problem? thanks@tianzhi0549
hello, **error: subsample()->prepare_targets() : for proposals_per_image, targets_per_image in zip(proposals, targets): TypeError: 'NoneType'** I met the error in **fcos_core/modeling/roi_heads/box_head/loss.py line 55**, it seems the targets were not input, i find the...
I tried to train for 10000 iterations but results are -1 2021-07-02 11:05:55,223 fcos_core INFO: Using 2 GPUs 2021-07-02 11:05:55,223 fcos_core INFO: Namespace(config_file='configs/fcos/fcos_R_50_FPN_1x.yaml', distributed=True, local_rank=0, opts=['DATALOADER.NUM_WORKERS', '2', 'OUTPUT_DIR', 'training_dir/fcos_R__50_FPN_1x_logs'], skip_test=False)...
I have trained FCOS on my own dataset which has 3 classes, and I'v got a model with 87500 iterations. But when I try to take an inference on my...
@tianzhi0549 thanks for opensourcing the code i am trying to convert any anchor based segmentation architecture to anchor free architecture i was able to perform the conversion but getting bad...
The value of CENTERNESS_ON_REG in the provided yaml file is set to True. The performance of the paper shows excellent performance when CENTERNESS_ON_REG:False. If the default value of all yaml...
Hi, I want to know that is there any experiment results show that centerness branch shared the same parameter with classification branch achieve the best MAP? Would it be better...
 when try the demo,I run into this problem ,do you know how to solve it ?
Traceback (most recent call last): File "tools/test_net.py", line 97, in main() File "tools/test_net.py", line 82, in main inference( File "/home/adnan/Documents/FCOS-master/fcos_core/engine/inference.py", line 83, in inference predictions = compute_on_dataset(model, data_loader, device, inference_timer)...