Comments (3)
hasanirtiza
commented on June 4, 2024
Yes, for Pedestron the models we provide are pre-trained mostly on Wider Pedestrian and subsequently fine-tune on the target set as discussed in the paper. We can definitely provide models without fine-tuning on the target set for general purpose human detection very soon.
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hasanirtiza
commented on June 4, 2024
You can access the Cascade Mask R-CNN model for generic human detection at:
https://drive.google.com/open?id=1rXopG04Dv-HKge3ZyqNYAHdCi9gmLuNe
Also updated in the README.md.
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henryyuanheng-wang
commented on June 4, 2024
Thank you so much man! This is super helpful. 💯 Good luck with research!
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Related Issues (20)
- Impact of mean_teacher on the training process HOT 1
- CSP pretrained weights HOT 1
- Reproduce resutls on Caltech dataset HOT 3
- Information regarding the training HOT 1
- Image_scale of Caltech while training HOT 6
- ImportError: /pedestron/tools/../mmdet/ops/dcn/deform_conv_cuda.cpython-36m-x86_64-linux-gnu.so: undefined symbol: _ZN6caffe26detail37_typeMetaDataInstance_preallocated_32E HOT 1
- RuntimeError: Expected cudaMemcpy(&mask_host[0], mask_dev, sizeof(unsigned long long) * boxes_num * col_blocks, cudaMemcpyDeviceToHost) == cudaSuccess to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) HOT 1
- Training citypersons with all the instances? HOT 1
- Welcome update to OpenMMLab 2.0
- Runtime error - Training with EuroCity persons HOT 1
- Training Caltech using CSP HOT 1
- What's ignore_other_vru in ECP evaluation? HOT 2
- result has no bbox HOT 5
- mmdet/ops/roi_align/src/roi_align_kernel.cu(145): error: identifier "THCudaCheck" is undefined HOT 1
- Update instruction for 2023 HOT 1
- custom dataset test HOT 1
- Evaluate different pre-trained model
- A request for advice on pedestrian tracking work. HOT 2
- a bug when converting crowdhuman to coco format
- Testing a CP trained model on ECP val dataset HOT 3
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