Domain-Adaptive-Faster-RCNN-PyTorch
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krumo
Domain Adaptive Faster R-CNN in PyTorch
Hello, thank you for your incredible work. Since this is one of the most important paper for unsupervised domain adaptation for object detection I have reimplemented this architecture using Detectron2....
In the __call__ of modelling.rpn.loss.py a masks variable is generated ```python def __call__(self, anchors, objectness, box_regression, targets): """ Arguments: anchors (list[BoxList]) objectness (list[Tensor]) box_regression (list[Tensor]) targets (list[BoxList]) Returns: objectness_loss (Tensor)...
Hello, I was wondering what the difference between proposals and da_proposals in the forward method of box_head.py When debugging the code-base they appear to be identical  Is there any...
For example ('AP',2.2241e-05)
Hello, I used cityscapes and foggy_cityscapes dataset to train the model according to the example usage,after 70000 iter ,the AP50 index obtained is only 0.12. I would like to ask...
File "D:\000_zhuang\DA_F_RCNN_torch_c\maskrcnn_benchmark\structures\boxlist_ops.py", line 27, in boxlist_nms keep = _box_nms(boxes, score, nms_thresh) RuntimeError: Not compiled with GPU support i can't from maskrcnn_benchmark import _C and there isn't _C
File "D:\000_zhuang\DA_F_RCNN_torch_c\maskrcnn_benchmark\data\transforms\transforms.py", line 60, in __call__ target = target.resize(image.size) AttributeError: 'list' object has no attribute 'resize'
I installed ninja on the server, but there was an error when running pycharm. Strangely, I didn't have this error when running on the server
Hi @krumo @yuhuayc , A few modifications and fixes were required to be able to run the `tools/train_net.py` with the provided config files - mostly just syntax updates, detectron dependency...
