Comments (4)
YonghaoHe
commented on August 18, 2024
@eeric I do not really understand what you mean
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eeric
commented on August 18, 2024
使用mxnet提供的行人检测模型测试效果没有你主页贴出的行人检测效果好。是不是你release的预训练模型效果一般的缘故。
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YonghaoHe
commented on August 18, 2024
@eeric 我们当时在Caltech上面训练的时候,训练数据的处理可能不是非常好,训练的时候比较随意,只是想出一个效果给大家一个示范. 我们release的就是能跑出repo贴出来的效果图的模型. model的效果并不是特别好,存在一定量的漏检和误检. Caltech这个数据库本身噪声挺大,建议用一些比较新的数据库,比如EuroCity Persons.
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eeric
commented on August 18, 2024
oh,明白，谢谢！
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Related Issues (20)
- 头部侦测问题 HOT 13
- Four point detection HOT 4
- 头部检测问题 HOT 6
- Nan loss while training face detection model on custom dataset HOT 2
- How to run inside Nvidia Deepstream?
- face detection model failed in the CPU environment HOT 3
- Error in face detection code while testing over WIDER_val dataset
- Error in validation over WIDER_val
- Difference on accuracy between your results and my reproduction HOT 4
- LFFD使用给的pytorch模型无法测试出论文的wider结果
- Please update the repo for Vehicle Detection HOT 6
- 人脸检测结果不符合预期
- 请问运行效率fps是在什么数据集上得到的
- Not realtime when run face_detection program on GPU
- Detecting Tiny Faces HOT 3
- face_detect-python-opencv-dnn
- Basketball tracking and Intel Movidius Myriad X support
- Cuda 10.2+TensorRT 7.0.0.1, Inference issue, ValueError: could not broadcast input array from shape (3,4,3) into shape (3,4,1)
- Slowly when run 2 cameras on 1 machine
- AttributeError: module 'mxnet' has no attribute 'module'
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