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  1. 11 Apr, 2018 1 commit
  3. 04 Apr, 2018 1 commit
  5. 03 Apr, 2018 1 commit
  7. 30 Mar, 2018 2 commits
    • Ashwin Bharambe's avatar
      Move `test_net.main()` wrapper inside `test_engine.run_inference` · 22636d44
      Ashwin Bharambe authored 
      Summary:
Another small refactor trying to reduce non-trivial logic existing
inside the `tools` scripts. I considered moving `main` as
`run_inference_and_check_expected_results` but that just sounded uglier.

Reviewed By: rbgirshick

Differential Revision: D7432976

fbshipit-source-id: a31106e11cf0c1d93781fc9a696d2afee553f3d6
      22636d44
    • Ashwin Bharambe's avatar
      Make it possible to run non-EDPM detectron workflows via fblearner · 31738256
      Ashwin Bharambe authored 
      Summary:
This diff adds a `vanilla_detectron` workflow so we can invoke the
non-elastic detectron code (essentially whatever is run by `train_net.par`)
via the standard fblearner toolchain. (FAIR folks typically use `fry` for this
purpose...)

I moved most of the code from `train_net.py` to `lib/utils/train.py` so it can
be re-used.

Note that as of now the `vanilla_detectron` workflow does not run testing.
That's coming.

Reviewed By: rbgirshick

Differential Revision: D7325559

fbshipit-source-id: 41359b47132bc79d1fcd5c5992a3589b391d149e
      31738256
  9. 29 Mar, 2018 1 commit
    • Ross Girshick's avatar
      Add DensePose to README.md · 32acc20c
      Ross Girshick authored 
      Reviewed By: ir413

Differential Revision: D7430607

fbshipit-source-id: 0e8c5f6dc223063505da3620744c8a58b9f5034f
      32acc20c
  11. 28 Mar, 2018 1 commit
  13. 23 Mar, 2018 1 commit
    • shenyunhang's avatar
      Miss a 'None' in return values of create_model() in tools/train_net.py · 7d8da094
      shenyunhang authored 
      Summary:
When 'model_final.pkl' exists, the following error occurs:
```shell
INFO train_net.py: 184: model_final.pkl exists; no need to train!
Traceback (most recent call last):
  File "tools/train_net.py", line 280, in <module>
    main()
  File "tools/train_net.py", line 119, in main
    checkpoints = train_model()
  File "tools/train_net.py", line 128, in train_model
    model, weights_file, start_iter, checkpoints, output_dir = create_model()
ValueError: need more than 4 values to unpack
```
It misses a return value.
Closes https://github.com/facebookresearch/Detectron/pull/309

Reviewed By: ir413

Differential Revision: D7366733

Pulled By: rbgirshick

fbshipit-source-id: c37b3b2e5b2aff38d46ca521a9d79613049255cb
      7d8da094
  15. 22 Mar, 2018 1 commit
  17. 20 Mar, 2018 6 commits
  19. 16 Mar, 2018 1 commit
  21. 15 Mar, 2018 1 commit
  23. 27 Feb, 2018 3 commits
  25. 24 Feb, 2018 1 commit
  27. 23 Feb, 2018 1 commit
  29. 21 Feb, 2018 1 commit
  31. 02 Feb, 2018 3 commits
  33. 01 Feb, 2018 4 commits
  35. 31 Jan, 2018 6 commits
  37. 30 Jan, 2018 4 commits
    • Kaiming He's avatar
      improve print_net · 0bc0a8d4
      Kaiming He authored 
      Summary: Revise print_net to show the full forward model when there are multiple losses (which is always the case).

Reviewed By: rbgirshick

Differential Revision: D6829753

fbshipit-source-id: 53c1d63d95a78f83a0275b90cad1517315786e7d
      0bc0a8d4
    • Ross Girshick's avatar
      Add template for github issues · fa8dba9c
      Ross Girshick authored 
      Reviewed By: KaimingHe

Differential Revision: D6842986

fbshipit-source-id: c8370e2f831239b5489dc723738c6bdf5708a40d
      fa8dba9c
    • Peizhao Zhang's avatar
      Added a script to convert pkl model to pb. · 757d77c2
      Peizhao Zhang authored 
      Summary:
Added a script to convert pkl model to pb.
- Supported Faster R-CNN detection model.
- Supported converting to CPU and GPU model.
- Fused AffineChannel to Conv.
- Verified model after conversion.

Reviewed By: rbgirshick

Differential Revision: D6783633

fbshipit-source-id: 19706d3074a4a784a2161a695d7c534e014ebb3f
      757d77c2
    • Ilija Radosavovic's avatar
      Support running the demo with RetinaNet · dd6c6615
      Ilija Radosavovic authored 
      Reviewed By: rbgirshick

Differential Revision: D6829499

fbshipit-source-id: 66fe40ef1b2c8c560ce769faa27d107c3c7be841
      dd6c6615