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[Fix] Fix loss parse in val_step #906
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Hi @acdart |
Codecov Report
@@ Coverage Diff @@
## master #906 +/- ##
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+ Coverage 89.09% 89.33% +0.23%
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Files 112 112
Lines 6081 6083 +2
Branches 977 977
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+ Hits 5418 5434 +16
+ Misses 468 452 -16
- Partials 195 197 +2
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LGTM
* [Fix] Fix loss parse in val_step * Add val_step unittest * Add train_step unittest
* ONNX supervised inpainting * sync with the torch pipeline * fix concat * update ref values * back to 8 steps * type fix * make fix-copies
* paf detector * add paf detector & head & loss * rename to PartAffinityField * rebase master * add paper ref * fix tab indent * update show * update heads * update heads * update paf head * update docstring * integrate get_multi_stage_outputs function for ae and paf * delete PAFParser * refactor ae * rm project2image in aggregate_scale * update head/init * update paf post-processing * fix docstring * fix docstring * fix config * add res50 config * add res50 config * fix bugs in paf generator * update paf flip * update paf group * update deconvhead * paf + head * fix config * update post-processing * fix bugs in flip paf * update unittest * add 'align_corners' in cfg * update refine * handle empty list * fix order * update pose filter * add openpose network * add openpose_v1 and openpose_v2 model * fix openpose v1 * rename stem to features for pre-trained vgg model loading * add openpose v1 v2 configs * add with_bg * allow different num_blocks and block_channels for different stages * remove redundant settings * update lightweight openpose * add lightopenpose config * update pretrained * update config * add neck & modify skeleton * rename addneck cfg * BottomUpGenerateHeatmapTarget pipeline with add_neck * BottomUpGenerateHeatmapTarget pipeline with add_neck * update addneck cfg * copy to keep self.coco unchanged * update pipeline with addneck * train paf wholebody * add bn * add bn * get add_neck on dataset * fix unittest * fix test with addneck * fix with bg * fix lightweight openpose with_bg=False * fix config * fix conv bias * fix with_bg config * fix paf * update config * gamma 0.333 * sgd config * fix MaskedMSELoss & add supervise_empty * fix add_neck * cfg of paf wholebody withbg + pretrain + supervise_empty * update lr * fix cfg * fix cfg * update configs * update configs * add configs * update configs * update configs * fix unittest * paf wholebody with hrnet/openposev2 backone * update cfg * add hourglass_ae model * add hourglass_ae model * add hourglass_ae model * update unittest * update hourglass * add select_output_index * supervise_empty=False * update batch size * resume from 50 epoch * hourglass wholebody coco pretrain * release resource limit * resume from 100ep * reduce workers_per_gpu * test multi-scale coco * delete paf * fix forward test * fix pytest * update batch size * update cfg Co-authored-by: jinsheng <jinsheng@sensetime.com> Co-authored-by: jin-s13 <jinsheng13@foxmail.com> Co-authored-by: 金晟 <SENSETIME\jinsheng@stit10.domain.sensetime.com>
* add json output for video demo * add json output for long_video_demo * add json output video demo
Motivation
Add loss parse in val_step, so that logger can get loss value of validation dataset
Modification
add loss parse and format output dict in val_step function