./run.sh
modify run.sh
- see Here, now using gtFine_trainvaltest validation set.
- user name [email protected]
- pw 16720
- Train files loaded in
main.py
, using 50000 synthetic images and 15 channel of ground truth (1 segmentation + 14 joints) - Test files loaded in
test_cityscapes.py
, using 500 real images from CityScape validation set.
- CityScape IoU testing result of every epoch
- test_mp4.py (no longer using a test video)
- test_image/* (no longer using several images to test)
- Asynchroize data loading (reducing half of the training time, using TFRecord)
- All-new CPM model and pretrain (Using some combination of old CPM and new CPM)
scp -r /mnt/sdc1/shangxuan/synthetic3_tf/*
https://github.com/ppwwyyxx/tensorpack/tree/master/examples/ConvolutionalPoseMachines
- load original CPM pretrain parameter
- Debugged formal evaluation of CITYSCAPE
- Changed the network structure from CPM to Multi-person CPM (see Here)
- Use new training dataset from Unity
- Formal evaluation from CITYSCAPE
- New file structures and class definitions
- Save/load pre-trained models
- global pooling layer -> from ParseNet
- testing process, wrong output filename & results
- change 'SET_VISIBLE_GPU' to explicit constraint