Comments (3)
@abcp4 plz try to replace '--base_net' with '--pretrained_ssd' in your command, as you are using a pretrained ssd to initialize the model. '--base_net' expects a pretained base net model, as it only initialises the base net. '--pretrained_ssd' uses pretrained weights to initialise all layers except the prediction head.
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It worked now!! Thank you very much!
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@qfgaohao using --pretrained_ssd finetuning model ,the loss is not match the pretrain model.
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Related Issues (20)
- convert_to_caffe2_models.py: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 2
- SSDSpec for image size smaller than 300 HOT 1
- Re-training SSD-Mobilenet - loss going up and down
- Error using run_ssd_live_demo.py HOT 1
- [Question] what these parameters mean? HOT 2
- base net for mobilenetv3 ssd HOT 1
- ssd-mobilenet to tensorrt
- pytorch模型量化时报错
- Mobilnet-ssdv2 HOT 1
- NAN values in Boxes HOT 1
- How can I train the model without pre-trained weight specified? HOT 1
- runtime error mobillenet-ssd-v2 HOT 5
- run_ssd_example.py box variable type does not mach opencv rectangle and putText functions
- FileNotFoundError: [Errno 2] No such file or directory: 'models/mobilenet_v1_with_relu_69_5.pth'
- cv2.error: OpenCV(4.5.5) : -1 : error: (-5:Bad argument) in function 'rectangle' HOT 1
- Could u add Nesterov momentum in SGD
- 4xgx
- RuntimeError: The size of tensor a (12828) must match the size of tensor b (3000) at non-singleton dimension 1 HOT 3
- ValueError encountered during retraining on Open Images Dataset HOT 1
- Slow Training and High Losses
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