udn_extend
pedestrian detection on Caltech dataset
- This model can achieve 9.7% miss rate on refined Caltech reasonable test sets.
Perparation in advance:
- download the test images(Caltech test sets, 4024 frames).
The testing step:
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download model and prototxt from baidu cloud disk.
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unzip the zip file in the root directory.
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run experiments/script_rpn_rcnn_new.m
If you have some problems to run this code, please contact ZHOU Hui(smarthuizhou@gmail.com).