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Migrate URLs to dl.fbaipublicfiles.com

Summary:
Per t34270005 we're changing all publicly hosted detectron assets to a new low-cost CDN-backed S3 bucket. The migration requires rewriting all instances of `https://s3-us-west-2.amazonaws.com/detectron` to `https://dl.fbaipublicfiles.com/detectron`.

This giant codemod does it.

```
cd fbcode

rg -l s3-us-west-2.amazonaws.com/detectron > ~/filelist.txt

for F in $(cat ~/filelist.txt);
  sed -i '' -e 's/s3-us-west-2\.amazonaws\.com\/detectron/dl.fbaipublicfiles.com\/detectron/g' $F
done
```

Reviewed By: jma127

Differential Revision: D13538734

fbshipit-source-id: 4fe5c797770b0d9f675cee53dbcb6b52857fa45d
  • Loading branch information...
rbgirshick authored and facebook-github-bot committed Dec 26, 2018
1 parent 8181a32 commit 5ed75f9d672b3c78b7da92d9b2321d04f33a7ccc
Showing with 262 additions and 262 deletions.
  1. +3 −3 GETTING_STARTED.md
  2. +96 −96 MODEL_ZOO.md
  3. +1 −1 configs/04_2018_gn_baselines/e2e_mask_rcnn_R-101-FPN_2x_gn.yaml
  4. +1 −1 configs/04_2018_gn_baselines/e2e_mask_rcnn_R-101-FPN_3x_gn.yaml
  5. +1 −1 configs/04_2018_gn_baselines/e2e_mask_rcnn_R-50-FPN_2x_gn.yaml
  6. +1 −1 configs/04_2018_gn_baselines/e2e_mask_rcnn_R-50-FPN_3x_gn.yaml
  7. +3 −3 configs/04_2018_gn_baselines/mask_rcnn_R-50-FPN_1x_gn.yaml
  8. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_1x.yaml
  9. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_2x.yaml
  10. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_1x.yaml
  11. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_2x.yaml
  12. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml
  13. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml
  14. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_1x.yaml
  15. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml
  16. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml
  17. +1 −1 configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml
  18. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_1x.yaml
  19. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_s1x.yaml
  20. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_1x.yaml
  21. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_s1x.yaml
  22. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_1x.yaml
  23. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml
  24. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_1x.yaml
  25. +1 −1 configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml
  26. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_1x.yaml
  27. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml
  28. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_1x.yaml
  29. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_2x.yaml
  30. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_1x.yaml
  31. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml
  32. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_1x.yaml
  33. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_2x.yaml
  34. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_1x.yaml
  35. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_2x.yaml
  36. +1 −1 configs/12_2017_baselines/e2e_mask_rcnn_X-152-32x8d-FPN-IN5k_1.44x.yaml
  37. +3 −3 configs/12_2017_baselines/fast_rcnn_R-101-FPN_1x.yaml
  38. +3 −3 configs/12_2017_baselines/fast_rcnn_R-101-FPN_2x.yaml
  39. +3 −3 configs/12_2017_baselines/fast_rcnn_R-50-C4_1x.yaml
  40. +3 −3 configs/12_2017_baselines/fast_rcnn_R-50-C4_2x.yaml
  41. +3 −3 configs/12_2017_baselines/fast_rcnn_R-50-FPN_1x.yaml
  42. +3 −3 configs/12_2017_baselines/fast_rcnn_R-50-FPN_2x.yaml
  43. +3 −3 configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_1x.yaml
  44. +3 −3 configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_2x.yaml
  45. +3 −3 configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_1x.yaml
  46. +3 −3 configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_2x.yaml
  47. +3 −3 configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_1x.yaml
  48. +3 −3 configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_s1x.yaml
  49. +3 −3 configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_1x.yaml
  50. +3 −3 configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml
  51. +3 −3 configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_1x.yaml
  52. +3 −3 configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml
  53. +3 −3 configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_1x.yaml
  54. +3 −3 configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml
  55. +3 −3 configs/12_2017_baselines/mask_rcnn_R-101-FPN_1x.yaml
  56. +3 −3 configs/12_2017_baselines/mask_rcnn_R-101-FPN_2x.yaml
  57. +3 −3 configs/12_2017_baselines/mask_rcnn_R-50-C4_1x.yaml
  58. +3 −3 configs/12_2017_baselines/mask_rcnn_R-50-C4_2x.yaml
  59. +3 −3 configs/12_2017_baselines/mask_rcnn_R-50-FPN_1x.yaml
  60. +3 −3 configs/12_2017_baselines/mask_rcnn_R-50-FPN_2x.yaml
  61. +3 −3 configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_1x.yaml
  62. +3 −3 configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_2x.yaml
  63. +3 −3 configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_1x.yaml
  64. +3 −3 configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_2x.yaml
  65. +1 −1 configs/12_2017_baselines/retinanet_R-101-FPN_1x.yaml
  66. +1 −1 configs/12_2017_baselines/retinanet_R-101-FPN_2x.yaml
  67. +1 −1 configs/12_2017_baselines/retinanet_R-50-FPN_1x.yaml
  68. +1 −1 configs/12_2017_baselines/retinanet_R-50-FPN_2x.yaml
  69. +1 −1 configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_1x.yaml
  70. +1 −1 configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_2x.yaml
  71. +1 −1 configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_1x.yaml
  72. +1 −1 configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_2x.yaml
  73. +1 −1 configs/12_2017_baselines/rpn_R-101-FPN_1x.yaml
  74. +1 −1 configs/12_2017_baselines/rpn_R-50-C4_1x.yaml
  75. +1 −1 configs/12_2017_baselines/rpn_R-50-FPN_1x.yaml
  76. +1 −1 configs/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml
  77. +1 −1 configs/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml
  78. +1 −1 configs/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml
  79. +1 −1 configs/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml
  80. +1 −1 configs/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml
  81. +1 −1 configs/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml
  82. +1 −1 configs/getting_started/tutorial_1gpu_e2e_faster_rcnn_R-50-FPN.yaml
  83. +1 −1 configs/getting_started/tutorial_2gpu_e2e_faster_rcnn_R-50-FPN.yaml
  84. +1 −1 configs/getting_started/tutorial_4gpu_e2e_faster_rcnn_R-50-FPN.yaml
  85. +1 −1 configs/getting_started/tutorial_8gpu_e2e_faster_rcnn_R-50-FPN.yaml
  86. +2 −2 configs/test_time_aug/e2e_mask_rcnn_R-50-FPN_2x.yaml
  87. +4 −4 configs/test_time_aug/keypoint_rcnn_R-50-FPN_1x.yaml
  88. +1 −1 detectron/datasets/data/README.md
  89. +1 −1 detectron/utils/io.py
  90. +14 −14 projects/GN/README.md
@@ -15,7 +15,7 @@ python tools/infer_simple.py \
--cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \
--output-dir /tmp/detectron-visualizations \
--image-ext jpg \
--wts https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
--wts https://dl.fbaipublicfiles.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
demo
```

@@ -37,7 +37,7 @@ This example shows how to run an end-to-end trained Mask R-CNN model from the mo
```
python tools/test_net.py \
--cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \
TEST.WEIGHTS https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
TEST.WEIGHTS https://dl.fbaipublicfiles.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
NUM_GPUS 1
```

@@ -47,7 +47,7 @@ Running inference with the same model using `$N` GPUs (e.g., `N=8`).
python tools/test_net.py \
--cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \
--multi-gpu-testing \
TEST.WEIGHTS https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
TEST.WEIGHTS https://dl.fbaipublicfiles.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
NUM_GPUS $N
```

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Oops, something went wrong.
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/47592356/R-101-GN.pkl # Note: a GN pre-trained model
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47592356/R-101-GN.pkl # Note: a GN pre-trained model
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/47592356/R-101-GN.pkl # Note: a GN pre-trained model
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47592356/R-101-GN.pkl # Note: a GN pre-trained model
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl # Note: a GN pre-trained model
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl # Note: a GN pre-trained model
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl # Note: a GN pre-trained model
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl # Note: a GN pre-trained model
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,15 +36,15 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl # Note: a GN pre-trained model
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl # Note: a GN pre-trained model
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl')
PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl')
SCALES: (800,)
MAX_SIZE: 1333
BATCH_SIZE_PER_IM: 512
TEST:
DATASETS: ('coco_2014_minival',)
PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',)
PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',)
PROPOSAL_LIMIT: 1000
SCALE: 800
MAX_SIZE: 1333
@@ -21,7 +21,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -21,7 +21,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -18,7 +18,7 @@ FAST_RCNN:
ROI_BOX_HEAD: ResNet.add_ResNet_roi_conv5_head
ROI_XFORM_METHOD: RoIAlign
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -18,7 +18,7 @@ FAST_RCNN:
ROI_BOX_HEAD: ResNet.add_ResNet_roi_conv5_head
ROI_XFORM_METHOD: RoIAlign
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -21,7 +21,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -21,7 +21,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -27,7 +27,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -27,7 +27,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -27,7 +27,7 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -28,7 +28,7 @@ FAST_RCNN:
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
# md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -35,7 +35,7 @@ KRCNN:
ROI_XFORM_SAMPLING_RATIO: 2
KEYPOINT_CONFIDENCE: bbox
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -35,7 +35,7 @@ KRCNN:
ROI_XFORM_SAMPLING_RATIO: 2
KEYPOINT_CONFIDENCE: bbox
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -35,7 +35,7 @@ KRCNN:
ROI_XFORM_SAMPLING_RATIO: 2
KEYPOINT_CONFIDENCE: bbox
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -35,7 +35,7 @@ KRCNN:
ROI_XFORM_SAMPLING_RATIO: 2
KEYPOINT_CONFIDENCE: bbox
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -40,7 +40,7 @@ KRCNN:
ROI_XFORM_SAMPLING_RATIO: 2
KEYPOINT_CONFIDENCE: bbox
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -40,7 +40,7 @@ KRCNN:
ROI_XFORM_SAMPLING_RATIO: 2
KEYPOINT_CONFIDENCE: bbox
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -41,7 +41,7 @@ KRCNN:
KEYPOINT_CONFIDENCE: bbox
TRAIN:
# md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -41,7 +41,7 @@ KRCNN:
KEYPOINT_CONFIDENCE: bbox
TRAIN:
# md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800)
MAX_SIZE: 1333
@@ -30,7 +30,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -30,7 +30,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -26,7 +26,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default: GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -26,7 +26,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default: GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -30,7 +30,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -30,7 +30,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -37,7 +37,7 @@ MRCNN:
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
# md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -37,7 +37,7 @@ MRCNN:
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
# md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (800,)
MAX_SIZE: 1333
@@ -36,7 +36,7 @@ MRCNN:
DILATION: 1 # default 2
CONV_INIT: MSRAFill # default GaussianFill
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
SCALES: (640, 672, 704, 736, 768, 800) # Scale jitter
MAX_SIZE: 1333
@@ -20,15 +20,15 @@ FAST_RCNN:
ROI_XFORM_RESOLUTION: 7
ROI_XFORM_SAMPLING_RATIO: 2
TRAIN:
WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl')
PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl')
SCALES: (800,)
MAX_SIZE: 1333
BATCH_SIZE_PER_IM: 512
TEST:
DATASETS: ('coco_2014_minival',)
PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',)
PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',)
PROPOSAL_LIMIT: 1000
SCALE: 800
MAX_SIZE: 1333
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