Comments (5)
I think you may try to use a caffe-to-Keras converter to obtain a Keras version of your model first.
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I think you may try to use a caffe-to-Keras converter to obtain a Keras version of your model first.
@khchow-gt Thanks for your suggestion, so the model like ssd&yolo you use in your project is built in keras? I thought they were built in pytorch and tried to find a caffe to pytorch converter, I was in the wrong way,
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SSD and YOLOv3 are both Keras. Only Faster R-CNN is PyTorch. That's why in your case, you need a cafffe to Keras converter.
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@khchow-gt I have searched online these days for a caffe2keras converter, yet none of them work for yolo or ssd, all of them only support a few kinds of layers, do you have any recommendation for such a converter? Thanks
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I am sorry that I haven't tried any converter. I think using the Keras implementation of SSD to retrain the model is a better choice because there can be a lot of problems to fix when you convert a Caffe model to Keras.
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Related Issues (20)
- yolov5 HOT 1
- Video Example HOT 1
- ValueError: Dimension 0 in both shapes must be equal, but are 1 and 255. Shapes are [1,1,1024,75] and [255,1024,1,1]. for 'Assign_360' (op: 'Assign') with input shapes: [1,1,1024,75], [255,1024,1,1]. HOT 7
- running the projects on colab HOT 2
- TOG Mislabelling attack not working with some images HOT 3
- No Object Detection Metrics Computation HOT 1
- vanishing attack and fabrication Attack HOT 1
- patch HOT 1
- visualize results HOT 1
- get mAP HOT 1
- TOG patch and position HOT 1
- Dont have from model.bbox_transform and net.vgg HOT 1
- too many wrong outcomes HOT 4
- How do I solve the IndexError: list index out of range error when using tensorflow-gpu==2.5.0 for execute the demo_patch.ipynb program HOT 1
- ZeroDivisionError: division by zero
- don't have .h5 file HOT 1
- Getting Shape related Issue while loading the weight file in yolov3.
- Shape Related Issue while loading the model. ValueError: Dimension 0 in both shapes must be equal, but are 1 and 255. Shapes are [1,1,1024,75] and [255,1024,1,1]. for 'Assign_1082' (op: 'Assign') with input shapes: [1,1,1024,75], [255,1024,1,1]. HOT 1
- Retrieval of attacked images
- Can you give the code for the video real time attack?
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