Spaces:
Running
on
T4
Running
on
T4
new model for edina dataset
Browse files- .gitattributes +3 -0
- app.py +16 -0
- assets/imgs/epic.png +3 -0
- models/paramnet_360cities_edina_rpf.pth +3 -0
- models/paramnet_360cities_edina_rpf.yaml +396 -0
- models/paramnet_360cities_edina_rpfpp.pth +3 -0
- models/paramnet_360cities_edina_rpfpp.yaml +397 -0
.gitattributes
CHANGED
@@ -41,3 +41,6 @@ assets/imgs/907px-Vincent_van_Gogh_-_De_slaapkamer_-_Google_Art_Project.jpg filt
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assets/imgs/AdobeStock_286429091.jpeg filter=lfs diff=lfs merge=lfs -text
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assets/imgs/AdobeStock_331358641.jpeg filter=lfs diff=lfs merge=lfs -text
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assets/imgs/ filter=lfs diff=lfs merge=lfs -text
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assets/imgs/AdobeStock_286429091.jpeg filter=lfs diff=lfs merge=lfs -text
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assets/imgs/AdobeStock_331358641.jpeg filter=lfs diff=lfs merge=lfs -text
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assets/imgs/ filter=lfs diff=lfs merge=lfs -text
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models/paramnet_360cities_edina_rpfpp.pth filter=lfs diff=lfs merge=lfs -text
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models/paramnet_360cities_edina_rpf.pth filter=lfs diff=lfs merge=lfs -text
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assets/imgs/epic.png filter=lfs diff=lfs merge=lfs -text
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app.py
CHANGED
@@ -34,6 +34,7 @@ description = """
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<p>Try our Gradio demo for Perspective Fields for single image camera calibration. You can click on one of the provided examples or upload your own image.</p>
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<h3>Available Models:</h3>
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<ol>
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<li><strong>PersNet-360Cities:</strong> PerspectiveNet trained on the 360Cities dataset. This model predicts perspective fields and is designed to be robust and generalize well to both indoor and outdoor images.</li>
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<li><strong>PersNet_Paramnet-GSV-uncentered:</strong> A combination of PerspectiveNet and ParamNet trained on the Google Street View (GSV) dataset. This model predicts camera Roll, Pitch, and Field of View (FoV), as well as the Principal Point location.</li>
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<li><strong>PersNet_Paramnet-GSV-centered:</strong> PerspectiveNet+ParamNet trained on the GSV dataset. This model assumes the principal point is at the center of the image and predicts camera Roll, Pitch, and FoV.</li>
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@@ -153,6 +154,21 @@ print(examples)
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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model_zoo = {
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'PersNet-360Cities': {
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'weights': ['https://www.dropbox.com/s/czqrepqe7x70b7y/cvpr2023.pth'],
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'opts': ['MODEL.WEIGHTS', 'models/cvpr2023.pth', 'MODEL.DEVICE', device,],
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<p>Try our Gradio demo for Perspective Fields for single image camera calibration. You can click on one of the provided examples or upload your own image.</p>
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<h3>Available Models:</h3>
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<ol>
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+
<li>[NEW!!!]<strong>Paramnet-360Cities-edina:</strong> PerspectiveNet+ParamNet trained on 360cities and edina dataset.</li>
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<li><strong>PersNet-360Cities:</strong> PerspectiveNet trained on the 360Cities dataset. This model predicts perspective fields and is designed to be robust and generalize well to both indoor and outdoor images.</li>
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<li><strong>PersNet_Paramnet-GSV-uncentered:</strong> A combination of PerspectiveNet and ParamNet trained on the Google Street View (GSV) dataset. This model predicts camera Roll, Pitch, and Field of View (FoV), as well as the Principal Point location.</li>
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<li><strong>PersNet_Paramnet-GSV-centered:</strong> PerspectiveNet+ParamNet trained on the GSV dataset. This model assumes the principal point is at the center of the image and predicts camera Roll, Pitch, and FoV.</li>
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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model_zoo = {
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'Paramnet-360Cities-edina-centered': {
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'weights': ['https://www.dropbox.com/s/z2dja70bgy007su/paramnet_360cities_edina_rpf.pth'],
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'opts': ['MODEL.WEIGHTS', 'models/paramnet_360cities_edina_rpf.pth', 'MODEL.DEVICE', device,],
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'config_file': 'models/paramnet_360cities_edina_rpf.yaml',
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'param': True,
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},
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'Paramnet-360Cities-edina-uncentered': {
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'weights': ['https://www.dropbox.com/s/nt29e1pi83mm1va/paramnet_360cities_edina_rpfpp.pth'],
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'opts': ['MODEL.WEIGHTS', 'models/paramnet_360cities_edina_rpfpp.pth', 'MODEL.DEVICE', device,],
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'config_file': 'models/paramnet_360cities_edina_rpfpp.yaml',
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'param': True,
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},
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'PersNet-360Cities': {
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'weights': ['https://www.dropbox.com/s/czqrepqe7x70b7y/cvpr2023.pth'],
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'opts': ['MODEL.WEIGHTS', 'models/cvpr2023.pth', 'MODEL.DEVICE', device,],
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assets/imgs/epic.png
ADDED
Git LFS Details
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models/paramnet_360cities_edina_rpf.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:58fe0285fe5d4592aec77e9ef57ac94273deb79bcb99f27d08bae68a2d1efc4a
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size 837147876
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models/paramnet_360cities_edina_rpf.yaml
ADDED
@@ -0,0 +1,396 @@
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1 |
+
CUDNN_BENCHMARK: false
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DATALOADER:
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ASPECT_RATIO_GROUPING: true
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+
AUGMENTATION: true
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+
AUGMENTATION_FUN: uniform_vfov_crop_resize
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+
AUGMENTATION_TYPE: geometry
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7 |
+
FILTER_EMPTY_ANNOTATIONS: true
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8 |
+
NO_GEOMETRY_AUG: false
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NUM_WORKERS: 8
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+
REPEAT_THRESHOLD: 0.0
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+
RESIZE:
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12 |
+
- 320
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+
- 320
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+
SAMPLER_TRAIN: TrainingSampler
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DATASETS:
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PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
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+
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
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+
PROPOSAL_FILES_TEST: []
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+
PROPOSAL_FILES_TRAIN: []
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TEST:
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21 |
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- edina_test_crop_vfov
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TRAIN:
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23 |
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- edina_train
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24 |
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- cities360_train
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DEBUG_ON: false
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26 |
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GLOBAL:
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27 |
+
HACK: 1.0
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28 |
+
INPUT:
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29 |
+
CROP:
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30 |
+
ENABLED: false
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31 |
+
SIZE:
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32 |
+
- 0.9
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33 |
+
- 0.9
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+
TYPE: relative_range
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+
FORMAT: BGR
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+
MASK_FORMAT: polygon
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+
MAX_SIZE_TEST: 1333
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38 |
+
MAX_SIZE_TRAIN: 1333
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39 |
+
MIN_SIZE_TEST: 800
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40 |
+
MIN_SIZE_TRAIN:
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41 |
+
- 800
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+
MIN_SIZE_TRAIN_SAMPLING: choice
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+
ONLINE_CROP: false
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44 |
+
RANDOM_FLIP: horizontal
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+
MODEL:
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46 |
+
ANCHOR_GENERATOR:
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47 |
+
ANGLES:
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48 |
+
- - -90
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49 |
+
- 0
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50 |
+
- 90
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51 |
+
ASPECT_RATIOS:
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52 |
+
- - 0.5
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53 |
+
- 1.0
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54 |
+
- 2.0
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+
NAME: DefaultAnchorGenerator
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56 |
+
OFFSET: 0.0
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57 |
+
SIZES:
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+
- - 32
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+
- 64
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60 |
+
- 128
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61 |
+
- 256
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62 |
+
- 512
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63 |
+
BACKBONE:
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64 |
+
FREEZE_AT: 2
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65 |
+
NAME: build_mit_backbone
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66 |
+
CENTER_ON: false
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67 |
+
DEVICE: cuda
|
68 |
+
FPN:
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69 |
+
FUSE_TYPE: sum
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70 |
+
IN_FEATURES: []
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71 |
+
NORM: ''
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72 |
+
OUT_CHANNELS: 256
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73 |
+
FPN_CENTER_HEAD:
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+
COMMON_STRIDE: 4
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75 |
+
CONVS_DIM: 128
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76 |
+
IGNORE_VALUE: 360
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77 |
+
IN_FEATURES:
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78 |
+
- p2
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79 |
+
- p3
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80 |
+
- p4
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81 |
+
- p5
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82 |
+
LOSS_WEIGHT: 1.0
|
83 |
+
NAME: CenterFPNHead
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84 |
+
NORM: GN
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85 |
+
NUM_CLASSES: 30
|
86 |
+
FPN_GRAVITY_HEAD:
|
87 |
+
COMMON_STRIDE: 4
|
88 |
+
CONVS_DIM: 128
|
89 |
+
IGNORE_VALUE: 360
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90 |
+
IN_FEATURES:
|
91 |
+
- p2
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92 |
+
- p3
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93 |
+
- p4
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94 |
+
- p5
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+
LOSS_WEIGHT: 1.0
|
96 |
+
NAME: GravityFPNHead
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97 |
+
NORM: GN
|
98 |
+
NUM_CLASSES: 361
|
99 |
+
FPN_HEADS:
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100 |
+
NAME: StandardFPNHeads
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101 |
+
FPN_LATITUDE_HEAD:
|
102 |
+
COMMON_STRIDE: 4
|
103 |
+
CONVS_DIM: 128
|
104 |
+
IGNORE_VALUE: -1
|
105 |
+
IN_FEATURES:
|
106 |
+
- p2
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107 |
+
- p3
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108 |
+
- p4
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109 |
+
- p5
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110 |
+
LOSS_WEIGHT: 1.0
|
111 |
+
NAME: LatitudeFPNHead
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112 |
+
NORM: GN
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113 |
+
NUM_CLASSES: 9
|
114 |
+
FREEZE: []
|
115 |
+
GRAVITY_DECODER:
|
116 |
+
IGNORE_VALUE: 72
|
117 |
+
LOSS_TYPE: regression
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118 |
+
LOSS_WEIGHT: 1.0
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119 |
+
NAME: GravityDecoder
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120 |
+
NUM_CLASSES: 73
|
121 |
+
GRAVITY_ON: true
|
122 |
+
HEIGHT_DECODER:
|
123 |
+
LOSS_WEIGHT: 1.0
|
124 |
+
NAME: HeightDecoder
|
125 |
+
HEIGHT_ON: false
|
126 |
+
KEYPOINT_ON: false
|
127 |
+
LATITUDE_DECODER:
|
128 |
+
IGNORE_VALUE: -1
|
129 |
+
LOSS_TYPE: regression
|
130 |
+
LOSS_WEIGHT: 1.0
|
131 |
+
NAME: LatitudeDecoder
|
132 |
+
NUM_CLASSES: 1
|
133 |
+
LATITUDE_ON: true
|
134 |
+
LOAD_PROPOSALS: false
|
135 |
+
MASK_ON: false
|
136 |
+
META_ARCHITECTURE: PersFormer
|
137 |
+
PANOPTIC_FPN:
|
138 |
+
COMBINE:
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139 |
+
ENABLED: true
|
140 |
+
INSTANCES_CONFIDENCE_THRESH: 0.5
|
141 |
+
OVERLAP_THRESH: 0.5
|
142 |
+
STUFF_AREA_LIMIT: 4096
|
143 |
+
INSTANCE_LOSS_WEIGHT: 1.0
|
144 |
+
PARAM_DECODER:
|
145 |
+
DEBUG_LAT: false
|
146 |
+
DEBUG_UP: false
|
147 |
+
INPUT_SIZE: 64
|
148 |
+
LOSS_TYPE: regression
|
149 |
+
LOSS_WEIGHT: 1.0
|
150 |
+
NAME: ParamNet
|
151 |
+
PREDICT_PARAMS:
|
152 |
+
- roll
|
153 |
+
- pitch
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154 |
+
- vfov
|
155 |
+
SYNTHETIC_PRETRAIN: false
|
156 |
+
PERSFORMER_HEADS:
|
157 |
+
NAME: StandardPersformerHeads
|
158 |
+
PIXEL_MEAN:
|
159 |
+
- 103.53
|
160 |
+
- 116.28
|
161 |
+
- 123.675
|
162 |
+
PIXEL_STD:
|
163 |
+
- 1.0
|
164 |
+
- 1.0
|
165 |
+
- 1.0
|
166 |
+
PROPOSAL_GENERATOR:
|
167 |
+
MIN_SIZE: 0
|
168 |
+
NAME: RPN
|
169 |
+
RECOVER_PP: false
|
170 |
+
RECOVER_RPF: true
|
171 |
+
RESNETS:
|
172 |
+
DEFORM_MODULATED: false
|
173 |
+
DEFORM_NUM_GROUPS: 1
|
174 |
+
DEFORM_ON_PER_STAGE:
|
175 |
+
- false
|
176 |
+
- false
|
177 |
+
- false
|
178 |
+
- false
|
179 |
+
DEPTH: 50
|
180 |
+
NORM: FrozenBN
|
181 |
+
NUM_GROUPS: 1
|
182 |
+
OUT_FEATURES:
|
183 |
+
- res4
|
184 |
+
RES2_OUT_CHANNELS: 256
|
185 |
+
RES5_DILATION: 1
|
186 |
+
STEM_OUT_CHANNELS: 64
|
187 |
+
STRIDE_IN_1X1: true
|
188 |
+
WIDTH_PER_GROUP: 64
|
189 |
+
RETINANET:
|
190 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
191 |
+
BBOX_REG_WEIGHTS: &id002
|
192 |
+
- 1.0
|
193 |
+
- 1.0
|
194 |
+
- 1.0
|
195 |
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- 1.0
|
196 |
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FOCAL_LOSS_ALPHA: 0.25
|
197 |
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FOCAL_LOSS_GAMMA: 2.0
|
198 |
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IN_FEATURES:
|
199 |
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- p3
|
200 |
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- p4
|
201 |
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- p5
|
202 |
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|
203 |
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|
204 |
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IOU_LABELS:
|
205 |
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|
206 |
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|
207 |
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208 |
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IOU_THRESHOLDS:
|
209 |
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- 0.4
|
210 |
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|
211 |
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NMS_THRESH_TEST: 0.5
|
212 |
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NORM: ''
|
213 |
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NUM_CLASSES: 80
|
214 |
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NUM_CONVS: 4
|
215 |
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PRIOR_PROB: 0.01
|
216 |
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SCORE_THRESH_TEST: 0.05
|
217 |
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SMOOTH_L1_LOSS_BETA: 0.1
|
218 |
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TOPK_CANDIDATES_TEST: 1000
|
219 |
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ROI_BOX_CASCADE_HEAD:
|
220 |
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BBOX_REG_WEIGHTS:
|
221 |
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|
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|
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|
224 |
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226 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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IOUS:
|
235 |
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|
236 |
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|
237 |
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|
238 |
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ROI_BOX_HEAD:
|
239 |
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BBOX_REG_LOSS_TYPE: smooth_l1
|
240 |
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BBOX_REG_LOSS_WEIGHT: 1.0
|
241 |
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BBOX_REG_WEIGHTS: *id001
|
242 |
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CLS_AGNOSTIC_BBOX_REG: false
|
243 |
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CONV_DIM: 256
|
244 |
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FC_DIM: 1024
|
245 |
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FED_LOSS_FREQ_WEIGHT_POWER: 0.5
|
246 |
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FED_LOSS_NUM_CLASSES: 50
|
247 |
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NAME: ''
|
248 |
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NORM: ''
|
249 |
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|
250 |
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NUM_FC: 0
|
251 |
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|
254 |
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SMOOTH_L1_BETA: 0.0
|
255 |
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TRAIN_ON_PRED_BOXES: false
|
256 |
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USE_FED_LOSS: false
|
257 |
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USE_SIGMOID_CE: false
|
258 |
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ROI_HEADS:
|
259 |
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BATCH_SIZE_PER_IMAGE: 512
|
260 |
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IN_FEATURES:
|
261 |
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|
262 |
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IOU_LABELS:
|
263 |
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- 0
|
264 |
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- 1
|
265 |
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IOU_THRESHOLDS:
|
266 |
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- 0.5
|
267 |
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NAME: Res5ROIHeads
|
268 |
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NMS_THRESH_TEST: 0.5
|
269 |
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NUM_CLASSES: 80
|
270 |
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POSITIVE_FRACTION: 0.25
|
271 |
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PROPOSAL_APPEND_GT: true
|
272 |
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SCORE_THRESH_TEST: 0.05
|
273 |
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ROI_KEYPOINT_HEAD:
|
274 |
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CONV_DIMS:
|
275 |
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- 512
|
276 |
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- 512
|
277 |
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- 512
|
278 |
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|
279 |
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280 |
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|
281 |
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- 512
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282 |
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- 512
|
283 |
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LOSS_WEIGHT: 1.0
|
284 |
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MIN_KEYPOINTS_PER_IMAGE: 1
|
285 |
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NAME: KRCNNConvDeconvUpsampleHead
|
286 |
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NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
|
287 |
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NUM_KEYPOINTS: 17
|
288 |
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POOLER_RESOLUTION: 14
|
289 |
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POOLER_SAMPLING_RATIO: 0
|
290 |
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POOLER_TYPE: ROIAlignV2
|
291 |
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ROI_MASK_HEAD:
|
292 |
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CLS_AGNOSTIC_MASK: false
|
293 |
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CONV_DIM: 256
|
294 |
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NAME: MaskRCNNConvUpsampleHead
|
295 |
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NORM: ''
|
296 |
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NUM_CONV: 0
|
297 |
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POOLER_RESOLUTION: 14
|
298 |
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POOLER_SAMPLING_RATIO: 0
|
299 |
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POOLER_TYPE: ROIAlignV2
|
300 |
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RPN:
|
301 |
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BATCH_SIZE_PER_IMAGE: 256
|
302 |
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BBOX_REG_LOSS_TYPE: smooth_l1
|
303 |
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BBOX_REG_LOSS_WEIGHT: 1.0
|
304 |
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BBOX_REG_WEIGHTS: *id002
|
305 |
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BOUNDARY_THRESH: -1
|
306 |
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CONV_DIMS:
|
307 |
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- -1
|
308 |
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HEAD_NAME: StandardRPNHead
|
309 |
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IN_FEATURES:
|
310 |
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- res4
|
311 |
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IOU_LABELS:
|
312 |
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- 0
|
313 |
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- -1
|
314 |
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- 1
|
315 |
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IOU_THRESHOLDS:
|
316 |
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- 0.3
|
317 |
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- 0.7
|
318 |
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LOSS_WEIGHT: 1.0
|
319 |
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NMS_THRESH: 0.7
|
320 |
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POSITIVE_FRACTION: 0.5
|
321 |
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POST_NMS_TOPK_TEST: 1000
|
322 |
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POST_NMS_TOPK_TRAIN: 2000
|
323 |
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PRE_NMS_TOPK_TEST: 6000
|
324 |
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PRE_NMS_TOPK_TRAIN: 12000
|
325 |
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SMOOTH_L1_BETA: 0.0
|
326 |
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SEM_SEG_HEAD:
|
327 |
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COMMON_STRIDE: 4
|
328 |
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CONVS_DIM: 128
|
329 |
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IGNORE_VALUE: 255
|
330 |
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IN_FEATURES:
|
331 |
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- p2
|
332 |
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- p3
|
333 |
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- p4
|
334 |
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- p5
|
335 |
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LOSS_WEIGHT: 1.0
|
336 |
+
NAME: SemSegFPNHead
|
337 |
+
NORM: GN
|
338 |
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NUM_CLASSES: 54
|
339 |
+
WEIGHTS: ./init_model_weights/cvpr2023.pth
|
340 |
+
OUTPUT_DIR: /home/msticha/exps/e01_edina
|
341 |
+
OVERFIT_ON: false
|
342 |
+
SEED: -1
|
343 |
+
SOLVER:
|
344 |
+
AMP:
|
345 |
+
ENABLED: false
|
346 |
+
BASE_LR: 0.01
|
347 |
+
BASE_LR_END: 0.0
|
348 |
+
BIAS_LR_FACTOR: 1.0
|
349 |
+
CHECKPOINT_PERIOD: 500
|
350 |
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CLIP_GRADIENTS:
|
351 |
+
CLIP_TYPE: value
|
352 |
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CLIP_VALUE: 1.0
|
353 |
+
ENABLED: false
|
354 |
+
NORM_TYPE: 2.0
|
355 |
+
GAMMA: 0.1
|
356 |
+
IMS_PER_BATCH: 32
|
357 |
+
LR_SCHEDULER_NAME: WarmupMultiStepLR
|
358 |
+
MAX_ITER: 90000
|
359 |
+
MOMENTUM: 0.9
|
360 |
+
NESTEROV: false
|
361 |
+
NUM_DECAYS: 3
|
362 |
+
REFERENCE_WORLD_SIZE: 0
|
363 |
+
RESCALE_INTERVAL: false
|
364 |
+
STEPS:
|
365 |
+
- 40000
|
366 |
+
- 60000
|
367 |
+
WARMUP_FACTOR: 0.001
|
368 |
+
WARMUP_ITERS: 1000
|
369 |
+
WARMUP_METHOD: linear
|
370 |
+
WEIGHT_DECAY: 0.0001
|
371 |
+
WEIGHT_DECAY_BIAS: null
|
372 |
+
WEIGHT_DECAY_NORM: 0.0
|
373 |
+
TEST:
|
374 |
+
AUG:
|
375 |
+
ENABLED: false
|
376 |
+
FLIP: true
|
377 |
+
MAX_SIZE: 4000
|
378 |
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MIN_SIZES:
|
379 |
+
- 400
|
380 |
+
- 500
|
381 |
+
- 600
|
382 |
+
- 700
|
383 |
+
- 800
|
384 |
+
- 900
|
385 |
+
- 1000
|
386 |
+
- 1100
|
387 |
+
- 1200
|
388 |
+
DETECTIONS_PER_IMAGE: 100
|
389 |
+
EVAL_PERIOD: 500
|
390 |
+
EXPECTED_RESULTS: []
|
391 |
+
KEYPOINT_OKS_SIGMAS: []
|
392 |
+
PRECISE_BN:
|
393 |
+
ENABLED: false
|
394 |
+
NUM_ITER: 200
|
395 |
+
VERSION: 2
|
396 |
+
VIS_PERIOD: 500
|
models/paramnet_360cities_edina_rpfpp.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:5220df6d9d89380d490bb9a3e4a162a8a5ca8eeb8610510173410076719fca67
|
3 |
+
size 837147876
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models/paramnet_360cities_edina_rpfpp.yaml
ADDED
@@ -0,0 +1,397 @@
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
CUDNN_BENCHMARK: false
|
2 |
+
DATALOADER:
|
3 |
+
ASPECT_RATIO_GROUPING: true
|
4 |
+
AUGMENTATION: true
|
5 |
+
AUGMENTATION_FUN: uniform_vfov_crop_resize
|
6 |
+
AUGMENTATION_TYPE: geometry
|
7 |
+
FILTER_EMPTY_ANNOTATIONS: true
|
8 |
+
NO_GEOMETRY_AUG: false
|
9 |
+
NUM_WORKERS: 8
|
10 |
+
REPEAT_THRESHOLD: 0.0
|
11 |
+
RESIZE:
|
12 |
+
- 320
|
13 |
+
- 320
|
14 |
+
SAMPLER_TRAIN: TrainingSampler
|
15 |
+
DATASETS:
|
16 |
+
PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
|
17 |
+
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
|
18 |
+
PROPOSAL_FILES_TEST: []
|
19 |
+
PROPOSAL_FILES_TRAIN: []
|
20 |
+
TEST:
|
21 |
+
- edina_test_crop_uniform
|
22 |
+
TRAIN:
|
23 |
+
- edina_train
|
24 |
+
- cities360_train
|
25 |
+
DEBUG_ON: false
|
26 |
+
GLOBAL:
|
27 |
+
HACK: 1.0
|
28 |
+
INPUT:
|
29 |
+
CROP:
|
30 |
+
ENABLED: false
|
31 |
+
SIZE:
|
32 |
+
- 0.9
|
33 |
+
- 0.9
|
34 |
+
TYPE: relative_range
|
35 |
+
FORMAT: BGR
|
36 |
+
MASK_FORMAT: polygon
|
37 |
+
MAX_SIZE_TEST: 1333
|
38 |
+
MAX_SIZE_TRAIN: 1333
|
39 |
+
MIN_SIZE_TEST: 800
|
40 |
+
MIN_SIZE_TRAIN:
|
41 |
+
- 800
|
42 |
+
MIN_SIZE_TRAIN_SAMPLING: choice
|
43 |
+
ONLINE_CROP: false
|
44 |
+
RANDOM_FLIP: horizontal
|
45 |
+
MODEL:
|
46 |
+
ANCHOR_GENERATOR:
|
47 |
+
ANGLES:
|
48 |
+
- - -90
|
49 |
+
- 0
|
50 |
+
- 90
|
51 |
+
ASPECT_RATIOS:
|
52 |
+
- - 0.5
|
53 |
+
- 1.0
|
54 |
+
- 2.0
|
55 |
+
NAME: DefaultAnchorGenerator
|
56 |
+
OFFSET: 0.0
|
57 |
+
SIZES:
|
58 |
+
- - 32
|
59 |
+
- 64
|
60 |
+
- 128
|
61 |
+
- 256
|
62 |
+
- 512
|
63 |
+
BACKBONE:
|
64 |
+
FREEZE_AT: 2
|
65 |
+
NAME: build_mit_backbone
|
66 |
+
CENTER_ON: false
|
67 |
+
DEVICE: cuda
|
68 |
+
FPN:
|
69 |
+
FUSE_TYPE: sum
|
70 |
+
IN_FEATURES: []
|
71 |
+
NORM: ''
|
72 |
+
OUT_CHANNELS: 256
|
73 |
+
FPN_CENTER_HEAD:
|
74 |
+
COMMON_STRIDE: 4
|
75 |
+
CONVS_DIM: 128
|
76 |
+
IGNORE_VALUE: 360
|
77 |
+
IN_FEATURES:
|
78 |
+
- p2
|
79 |
+
- p3
|
80 |
+
- p4
|
81 |
+
- p5
|
82 |
+
LOSS_WEIGHT: 1.0
|
83 |
+
NAME: CenterFPNHead
|
84 |
+
NORM: GN
|
85 |
+
NUM_CLASSES: 30
|
86 |
+
FPN_GRAVITY_HEAD:
|
87 |
+
COMMON_STRIDE: 4
|
88 |
+
CONVS_DIM: 128
|
89 |
+
IGNORE_VALUE: 360
|
90 |
+
IN_FEATURES:
|
91 |
+
- p2
|
92 |
+
- p3
|
93 |
+
- p4
|
94 |
+
- p5
|
95 |
+
LOSS_WEIGHT: 1.0
|
96 |
+
NAME: GravityFPNHead
|
97 |
+
NORM: GN
|
98 |
+
NUM_CLASSES: 361
|
99 |
+
FPN_HEADS:
|
100 |
+
NAME: StandardFPNHeads
|
101 |
+
FPN_LATITUDE_HEAD:
|
102 |
+
COMMON_STRIDE: 4
|
103 |
+
CONVS_DIM: 128
|
104 |
+
IGNORE_VALUE: -1
|
105 |
+
IN_FEATURES:
|
106 |
+
- p2
|
107 |
+
- p3
|
108 |
+
- p4
|
109 |
+
- p5
|
110 |
+
LOSS_WEIGHT: 1.0
|
111 |
+
NAME: LatitudeFPNHead
|
112 |
+
NORM: GN
|
113 |
+
NUM_CLASSES: 9
|
114 |
+
FREEZE: []
|
115 |
+
GRAVITY_DECODER:
|
116 |
+
IGNORE_VALUE: 72
|
117 |
+
LOSS_TYPE: regression
|
118 |
+
LOSS_WEIGHT: 1.0
|
119 |
+
NAME: GravityDecoder
|
120 |
+
NUM_CLASSES: 73
|
121 |
+
GRAVITY_ON: true
|
122 |
+
HEIGHT_DECODER:
|
123 |
+
LOSS_WEIGHT: 1.0
|
124 |
+
NAME: HeightDecoder
|
125 |
+
HEIGHT_ON: false
|
126 |
+
KEYPOINT_ON: false
|
127 |
+
LATITUDE_DECODER:
|
128 |
+
IGNORE_VALUE: -1
|
129 |
+
LOSS_TYPE: regression
|
130 |
+
LOSS_WEIGHT: 1.0
|
131 |
+
NAME: LatitudeDecoder
|
132 |
+
NUM_CLASSES: 1
|
133 |
+
LATITUDE_ON: true
|
134 |
+
LOAD_PROPOSALS: false
|
135 |
+
MASK_ON: false
|
136 |
+
META_ARCHITECTURE: PersFormer
|
137 |
+
PANOPTIC_FPN:
|
138 |
+
COMBINE:
|
139 |
+
ENABLED: true
|
140 |
+
INSTANCES_CONFIDENCE_THRESH: 0.5
|
141 |
+
OVERLAP_THRESH: 0.5
|
142 |
+
STUFF_AREA_LIMIT: 4096
|
143 |
+
INSTANCE_LOSS_WEIGHT: 1.0
|
144 |
+
PARAM_DECODER:
|
145 |
+
DEBUG_LAT: false
|
146 |
+
DEBUG_UP: false
|
147 |
+
INPUT_SIZE: 64
|
148 |
+
LOSS_TYPE: regression
|
149 |
+
LOSS_WEIGHT: 1.0
|
150 |
+
NAME: ParamNetConvNextRegress
|
151 |
+
PREDICT_PARAMS:
|
152 |
+
- roll
|
153 |
+
- pitch
|
154 |
+
- general_vfov
|
155 |
+
- rel_cx
|
156 |
+
- rel_cy
|
157 |
+
SYNTHETIC_PRETRAIN: false
|
158 |
+
PERSFORMER_HEADS:
|
159 |
+
NAME: StandardPersformerHeads
|
160 |
+
PIXEL_MEAN:
|
161 |
+
- 103.53
|
162 |
+
- 116.28
|
163 |
+
- 123.675
|
164 |
+
PIXEL_STD:
|
165 |
+
- 1.0
|
166 |
+
- 1.0
|
167 |
+
- 1.0
|
168 |
+
PROPOSAL_GENERATOR:
|
169 |
+
MIN_SIZE: 0
|
170 |
+
NAME: RPN
|
171 |
+
RECOVER_PP: true
|
172 |
+
RECOVER_RPF: true
|
173 |
+
RESNETS:
|
174 |
+
DEFORM_MODULATED: false
|
175 |
+
DEFORM_NUM_GROUPS: 1
|
176 |
+
DEFORM_ON_PER_STAGE:
|
177 |
+
- false
|
178 |
+
- false
|
179 |
+
- false
|
180 |
+
- false
|
181 |
+
DEPTH: 50
|
182 |
+
NORM: FrozenBN
|
183 |
+
NUM_GROUPS: 1
|
184 |
+
OUT_FEATURES:
|
185 |
+
- res4
|
186 |
+
RES2_OUT_CHANNELS: 256
|
187 |
+
RES5_DILATION: 1
|
188 |
+
STEM_OUT_CHANNELS: 64
|
189 |
+
STRIDE_IN_1X1: true
|
190 |
+
WIDTH_PER_GROUP: 64
|
191 |
+
RETINANET:
|
192 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
193 |
+
BBOX_REG_WEIGHTS: &id002
|
194 |
+
- 1.0
|
195 |
+
- 1.0
|
196 |
+
- 1.0
|
197 |
+
- 1.0
|
198 |
+
FOCAL_LOSS_ALPHA: 0.25
|
199 |
+
FOCAL_LOSS_GAMMA: 2.0
|
200 |
+
IN_FEATURES:
|
201 |
+
- p3
|
202 |
+
- p4
|
203 |
+
- p5
|
204 |
+
- p6
|
205 |
+
- p7
|
206 |
+
IOU_LABELS:
|
207 |
+
- 0
|
208 |
+
- -1
|
209 |
+
- 1
|
210 |
+
IOU_THRESHOLDS:
|
211 |
+
- 0.4
|
212 |
+
- 0.5
|
213 |
+
NMS_THRESH_TEST: 0.5
|
214 |
+
NORM: ''
|
215 |
+
NUM_CLASSES: 80
|
216 |
+
NUM_CONVS: 4
|
217 |
+
PRIOR_PROB: 0.01
|
218 |
+
SCORE_THRESH_TEST: 0.05
|
219 |
+
SMOOTH_L1_LOSS_BETA: 0.1
|
220 |
+
TOPK_CANDIDATES_TEST: 1000
|
221 |
+
ROI_BOX_CASCADE_HEAD:
|
222 |
+
BBOX_REG_WEIGHTS:
|
223 |
+
- &id001
|
224 |
+
- 10.0
|
225 |
+
- 10.0
|
226 |
+
- 5.0
|
227 |
+
- 5.0
|
228 |
+
- - 20.0
|
229 |
+
- 20.0
|
230 |
+
- 10.0
|
231 |
+
- 10.0
|
232 |
+
- - 30.0
|
233 |
+
- 30.0
|
234 |
+
- 15.0
|
235 |
+
- 15.0
|
236 |
+
IOUS:
|
237 |
+
- 0.5
|
238 |
+
- 0.6
|
239 |
+
- 0.7
|
240 |
+
ROI_BOX_HEAD:
|
241 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
242 |
+
BBOX_REG_LOSS_WEIGHT: 1.0
|
243 |
+
BBOX_REG_WEIGHTS: *id001
|
244 |
+
CLS_AGNOSTIC_BBOX_REG: false
|
245 |
+
CONV_DIM: 256
|
246 |
+
FC_DIM: 1024
|
247 |
+
FED_LOSS_FREQ_WEIGHT_POWER: 0.5
|
248 |
+
FED_LOSS_NUM_CLASSES: 50
|
249 |
+
NAME: ''
|
250 |
+
NORM: ''
|
251 |
+
NUM_CONV: 0
|
252 |
+
NUM_FC: 0
|
253 |
+
POOLER_RESOLUTION: 14
|
254 |
+
POOLER_SAMPLING_RATIO: 0
|
255 |
+
POOLER_TYPE: ROIAlignV2
|
256 |
+
SMOOTH_L1_BETA: 0.0
|
257 |
+
TRAIN_ON_PRED_BOXES: false
|
258 |
+
USE_FED_LOSS: false
|
259 |
+
USE_SIGMOID_CE: false
|
260 |
+
ROI_HEADS:
|
261 |
+
BATCH_SIZE_PER_IMAGE: 512
|
262 |
+
IN_FEATURES:
|
263 |
+
- res4
|
264 |
+
IOU_LABELS:
|
265 |
+
- 0
|
266 |
+
- 1
|
267 |
+
IOU_THRESHOLDS:
|
268 |
+
- 0.5
|
269 |
+
NAME: Res5ROIHeads
|
270 |
+
NMS_THRESH_TEST: 0.5
|
271 |
+
NUM_CLASSES: 80
|
272 |
+
POSITIVE_FRACTION: 0.25
|
273 |
+
PROPOSAL_APPEND_GT: true
|
274 |
+
SCORE_THRESH_TEST: 0.05
|
275 |
+
ROI_KEYPOINT_HEAD:
|
276 |
+
CONV_DIMS:
|
277 |
+
- 512
|
278 |
+
- 512
|
279 |
+
- 512
|
280 |
+
- 512
|
281 |
+
- 512
|
282 |
+
- 512
|
283 |
+
- 512
|
284 |
+
- 512
|
285 |
+
LOSS_WEIGHT: 1.0
|
286 |
+
MIN_KEYPOINTS_PER_IMAGE: 1
|
287 |
+
NAME: KRCNNConvDeconvUpsampleHead
|
288 |
+
NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
|
289 |
+
NUM_KEYPOINTS: 17
|
290 |
+
POOLER_RESOLUTION: 14
|
291 |
+
POOLER_SAMPLING_RATIO: 0
|
292 |
+
POOLER_TYPE: ROIAlignV2
|
293 |
+
ROI_MASK_HEAD:
|
294 |
+
CLS_AGNOSTIC_MASK: false
|
295 |
+
CONV_DIM: 256
|
296 |
+
NAME: MaskRCNNConvUpsampleHead
|
297 |
+
NORM: ''
|
298 |
+
NUM_CONV: 0
|
299 |
+
POOLER_RESOLUTION: 14
|
300 |
+
POOLER_SAMPLING_RATIO: 0
|
301 |
+
POOLER_TYPE: ROIAlignV2
|
302 |
+
RPN:
|
303 |
+
BATCH_SIZE_PER_IMAGE: 256
|
304 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
305 |
+
BBOX_REG_LOSS_WEIGHT: 1.0
|
306 |
+
BBOX_REG_WEIGHTS: *id002
|
307 |
+
BOUNDARY_THRESH: -1
|
308 |
+
CONV_DIMS:
|
309 |
+
- -1
|
310 |
+
HEAD_NAME: StandardRPNHead
|
311 |
+
IN_FEATURES:
|
312 |
+
- res4
|
313 |
+
IOU_LABELS:
|
314 |
+
- 0
|
315 |
+
- -1
|
316 |
+
- 1
|
317 |
+
IOU_THRESHOLDS:
|
318 |
+
- 0.3
|
319 |
+
- 0.7
|
320 |
+
LOSS_WEIGHT: 1.0
|
321 |
+
NMS_THRESH: 0.7
|
322 |
+
POSITIVE_FRACTION: 0.5
|
323 |
+
POST_NMS_TOPK_TEST: 1000
|
324 |
+
POST_NMS_TOPK_TRAIN: 2000
|
325 |
+
PRE_NMS_TOPK_TEST: 6000
|
326 |
+
PRE_NMS_TOPK_TRAIN: 12000
|
327 |
+
SMOOTH_L1_BETA: 0.0
|
328 |
+
SEM_SEG_HEAD:
|
329 |
+
COMMON_STRIDE: 4
|
330 |
+
CONVS_DIM: 128
|
331 |
+
IGNORE_VALUE: 255
|
332 |
+
IN_FEATURES:
|
333 |
+
- p2
|
334 |
+
- p3
|
335 |
+
- p4
|
336 |
+
- p5
|
337 |
+
LOSS_WEIGHT: 1.0
|
338 |
+
NAME: SemSegFPNHead
|
339 |
+
NORM: GN
|
340 |
+
NUM_CLASSES: 54
|
341 |
+
WEIGHTS: ./init_model_weights/cvpr2023.pth
|
342 |
+
OUTPUT_DIR: /home/msticha/exps/e01_edina_pp
|
343 |
+
OVERFIT_ON: false
|
344 |
+
SEED: -1
|
345 |
+
SOLVER:
|
346 |
+
AMP:
|
347 |
+
ENABLED: false
|
348 |
+
BASE_LR: 0.005
|
349 |
+
BASE_LR_END: 0.0
|
350 |
+
BIAS_LR_FACTOR: 1.0
|
351 |
+
CHECKPOINT_PERIOD: 500
|
352 |
+
CLIP_GRADIENTS:
|
353 |
+
CLIP_TYPE: value
|
354 |
+
CLIP_VALUE: 1.0
|
355 |
+
ENABLED: false
|
356 |
+
NORM_TYPE: 2.0
|
357 |
+
GAMMA: 0.1
|
358 |
+
IMS_PER_BATCH: 32
|
359 |
+
LR_SCHEDULER_NAME: WarmupCosineLR
|
360 |
+
MAX_ITER: 90000
|
361 |
+
MOMENTUM: 0.9
|
362 |
+
NESTEROV: false
|
363 |
+
NUM_DECAYS: 3
|
364 |
+
REFERENCE_WORLD_SIZE: 0
|
365 |
+
RESCALE_INTERVAL: false
|
366 |
+
STEPS:
|
367 |
+
- 30000
|
368 |
+
WARMUP_FACTOR: 0.001
|
369 |
+
WARMUP_ITERS: 1000
|
370 |
+
WARMUP_METHOD: linear
|
371 |
+
WEIGHT_DECAY: 0.0001
|
372 |
+
WEIGHT_DECAY_BIAS: null
|
373 |
+
WEIGHT_DECAY_NORM: 0.0
|
374 |
+
TEST:
|
375 |
+
AUG:
|
376 |
+
ENABLED: false
|
377 |
+
FLIP: true
|
378 |
+
MAX_SIZE: 4000
|
379 |
+
MIN_SIZES:
|
380 |
+
- 400
|
381 |
+
- 500
|
382 |
+
- 600
|
383 |
+
- 700
|
384 |
+
- 800
|
385 |
+
- 900
|
386 |
+
- 1000
|
387 |
+
- 1100
|
388 |
+
- 1200
|
389 |
+
DETECTIONS_PER_IMAGE: 100
|
390 |
+
EVAL_PERIOD: 500
|
391 |
+
EXPECTED_RESULTS: []
|
392 |
+
KEYPOINT_OKS_SIGMAS: []
|
393 |
+
PRECISE_BN:
|
394 |
+
ENABLED: false
|
395 |
+
NUM_ITER: 200
|
396 |
+
VERSION: 2
|
397 |
+
VIS_PERIOD: 500
|