JumaRubea commited on
Commit
73b6788
·
verified ·
1 Parent(s): 5085d29

pushing model v2

Browse files
Files changed (2) hide show
  1. mask_rcnn_config.yaml +327 -0
  2. model_final.pth +3 -0
mask_rcnn_config.yaml ADDED
@@ -0,0 +1,327 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CUDNN_BENCHMARK: false
2
+ DATALOADER:
3
+ ASPECT_RATIO_GROUPING: true
4
+ FILTER_EMPTY_ANNOTATIONS: true
5
+ NUM_WORKERS: 4
6
+ REPEAT_SQRT: true
7
+ REPEAT_THRESHOLD: 0.0
8
+ SAMPLER_TRAIN: TrainingSampler
9
+ DATASETS:
10
+ PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
11
+ PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
12
+ PROPOSAL_FILES_TEST: []
13
+ PROPOSAL_FILES_TRAIN: []
14
+ TEST:
15
+ - medical_val
16
+ TRAIN:
17
+ - medical_train
18
+ FLOAT32_PRECISION: ''
19
+ GLOBAL:
20
+ HACK: 1.0
21
+ INPUT:
22
+ CROP:
23
+ ENABLED: false
24
+ SIZE:
25
+ - 0.9
26
+ - 0.9
27
+ TYPE: relative_range
28
+ FORMAT: BGR
29
+ MASK_FORMAT: polygon
30
+ MAX_SIZE_TEST: 1333
31
+ MAX_SIZE_TRAIN: 1333
32
+ MIN_SIZE_TEST: 800
33
+ MIN_SIZE_TRAIN:
34
+ - 640
35
+ - 672
36
+ - 704
37
+ - 736
38
+ - 768
39
+ - 800
40
+ MIN_SIZE_TRAIN_SAMPLING: choice
41
+ RANDOM_FLIP: horizontal
42
+ MODEL:
43
+ ANCHOR_GENERATOR:
44
+ ANGLES:
45
+ - - -90
46
+ - 0
47
+ - 90
48
+ ASPECT_RATIOS:
49
+ - - 0.5
50
+ - 1.0
51
+ - 2.0
52
+ NAME: DefaultAnchorGenerator
53
+ OFFSET: 0.0
54
+ SIZES:
55
+ - - 32
56
+ - - 64
57
+ - - 128
58
+ - - 256
59
+ - - 512
60
+ BACKBONE:
61
+ FREEZE_AT: 2
62
+ NAME: build_resnet_fpn_backbone
63
+ DEVICE: cuda
64
+ FPN:
65
+ FUSE_TYPE: sum
66
+ IN_FEATURES:
67
+ - res2
68
+ - res3
69
+ - res4
70
+ - res5
71
+ NORM: ''
72
+ OUT_CHANNELS: 256
73
+ KEYPOINT_ON: false
74
+ LOAD_PROPOSALS: false
75
+ MASK_ON: true
76
+ META_ARCHITECTURE: GeneralizedRCNN
77
+ PANOPTIC_FPN:
78
+ COMBINE:
79
+ ENABLED: true
80
+ INSTANCES_CONFIDENCE_THRESH: 0.5
81
+ OVERLAP_THRESH: 0.5
82
+ STUFF_AREA_LIMIT: 4096
83
+ INSTANCE_LOSS_WEIGHT: 1.0
84
+ PIXEL_MEAN:
85
+ - 103.53
86
+ - 116.28
87
+ - 123.675
88
+ PIXEL_STD:
89
+ - 1.0
90
+ - 1.0
91
+ - 1.0
92
+ PROPOSAL_GENERATOR:
93
+ MIN_SIZE: 0
94
+ NAME: RPN
95
+ RESNETS:
96
+ DEFORM_MODULATED: false
97
+ DEFORM_NUM_GROUPS: 1
98
+ DEFORM_ON_PER_STAGE:
99
+ - false
100
+ - false
101
+ - false
102
+ - false
103
+ DEPTH: 50
104
+ NORM: FrozenBN
105
+ NUM_GROUPS: 1
106
+ OUT_FEATURES:
107
+ - res2
108
+ - res3
109
+ - res4
110
+ - res5
111
+ RES2_OUT_CHANNELS: 256
112
+ RES5_DILATION: 1
113
+ STEM_OUT_CHANNELS: 64
114
+ STRIDE_IN_1X1: true
115
+ WIDTH_PER_GROUP: 64
116
+ RETINANET:
117
+ BBOX_REG_LOSS_TYPE: smooth_l1
118
+ BBOX_REG_WEIGHTS: &id002
119
+ - 1.0
120
+ - 1.0
121
+ - 1.0
122
+ - 1.0
123
+ FOCAL_LOSS_ALPHA: 0.25
124
+ FOCAL_LOSS_GAMMA: 2.0
125
+ IN_FEATURES:
126
+ - p3
127
+ - p4
128
+ - p5
129
+ - p6
130
+ - p7
131
+ IOU_LABELS:
132
+ - 0
133
+ - -1
134
+ - 1
135
+ IOU_THRESHOLDS:
136
+ - 0.4
137
+ - 0.5
138
+ NMS_THRESH_TEST: 0.5
139
+ NORM: ''
140
+ NUM_CLASSES: 80
141
+ NUM_CONVS: 4
142
+ PRIOR_PROB: 0.01
143
+ SCORE_THRESH_TEST: 0.05
144
+ SMOOTH_L1_LOSS_BETA: 0.1
145
+ TOPK_CANDIDATES_TEST: 1000
146
+ ROI_BOX_CASCADE_HEAD:
147
+ BBOX_REG_WEIGHTS:
148
+ - &id001
149
+ - 10.0
150
+ - 10.0
151
+ - 5.0
152
+ - 5.0
153
+ - - 20.0
154
+ - 20.0
155
+ - 10.0
156
+ - 10.0
157
+ - - 30.0
158
+ - 30.0
159
+ - 15.0
160
+ - 15.0
161
+ IOUS:
162
+ - 0.5
163
+ - 0.6
164
+ - 0.7
165
+ ROI_BOX_HEAD:
166
+ BBOX_REG_LOSS_TYPE: smooth_l1
167
+ BBOX_REG_LOSS_WEIGHT: 1.0
168
+ BBOX_REG_WEIGHTS: *id001
169
+ CLS_AGNOSTIC_BBOX_REG: false
170
+ CONV_DIM: 256
171
+ FC_DIM: 1024
172
+ FED_LOSS_FREQ_WEIGHT_POWER: 0.5
173
+ FED_LOSS_NUM_CLASSES: 50
174
+ NAME: FastRCNNConvFCHead
175
+ NORM: ''
176
+ NUM_CONV: 0
177
+ NUM_FC: 2
178
+ POOLER_RESOLUTION: 7
179
+ POOLER_SAMPLING_RATIO: 0
180
+ POOLER_TYPE: ROIAlignV2
181
+ SMOOTH_L1_BETA: 0.0
182
+ TRAIN_ON_PRED_BOXES: false
183
+ USE_FED_LOSS: false
184
+ USE_SIGMOID_CE: false
185
+ ROI_HEADS:
186
+ BATCH_SIZE_PER_IMAGE: 128
187
+ IN_FEATURES:
188
+ - p2
189
+ - p3
190
+ - p4
191
+ - p5
192
+ IOU_LABELS:
193
+ - 0
194
+ - 1
195
+ IOU_THRESHOLDS:
196
+ - 0.5
197
+ NAME: StandardROIHeads
198
+ NMS_THRESH_TEST: 0.5
199
+ NUM_CLASSES: 3
200
+ POSITIVE_FRACTION: 0.25
201
+ PROPOSAL_APPEND_GT: true
202
+ SCORE_THRESH_TEST: 0.05
203
+ ROI_KEYPOINT_HEAD:
204
+ CONV_DIMS:
205
+ - 512
206
+ - 512
207
+ - 512
208
+ - 512
209
+ - 512
210
+ - 512
211
+ - 512
212
+ - 512
213
+ LOSS_WEIGHT: 1.0
214
+ MIN_KEYPOINTS_PER_IMAGE: 1
215
+ NAME: KRCNNConvDeconvUpsampleHead
216
+ NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
217
+ NUM_KEYPOINTS: 17
218
+ POOLER_RESOLUTION: 14
219
+ POOLER_SAMPLING_RATIO: 0
220
+ POOLER_TYPE: ROIAlignV2
221
+ ROI_MASK_HEAD:
222
+ CLS_AGNOSTIC_MASK: false
223
+ CONV_DIM: 256
224
+ NAME: MaskRCNNConvUpsampleHead
225
+ NORM: ''
226
+ NUM_CONV: 4
227
+ POOLER_RESOLUTION: 14
228
+ POOLER_SAMPLING_RATIO: 0
229
+ POOLER_TYPE: ROIAlignV2
230
+ RPN:
231
+ BATCH_SIZE_PER_IMAGE: 256
232
+ BBOX_REG_LOSS_TYPE: smooth_l1
233
+ BBOX_REG_LOSS_WEIGHT: 1.0
234
+ BBOX_REG_WEIGHTS: *id002
235
+ BOUNDARY_THRESH: -1
236
+ CONV_DIMS:
237
+ - -1
238
+ HEAD_NAME: StandardRPNHead
239
+ IN_FEATURES:
240
+ - p2
241
+ - p3
242
+ - p4
243
+ - p5
244
+ - p6
245
+ IOU_LABELS:
246
+ - 0
247
+ - -1
248
+ - 1
249
+ IOU_THRESHOLDS:
250
+ - 0.3
251
+ - 0.7
252
+ LOSS_WEIGHT: 1.0
253
+ NMS_THRESH: 0.7
254
+ POSITIVE_FRACTION: 0.5
255
+ POST_NMS_TOPK_TEST: 1000
256
+ POST_NMS_TOPK_TRAIN: 1000
257
+ PRE_NMS_TOPK_TEST: 1000
258
+ PRE_NMS_TOPK_TRAIN: 2000
259
+ SMOOTH_L1_BETA: 0.0
260
+ SEM_SEG_HEAD:
261
+ COMMON_STRIDE: 4
262
+ CONVS_DIM: 128
263
+ IGNORE_VALUE: 255
264
+ IN_FEATURES:
265
+ - p2
266
+ - p3
267
+ - p4
268
+ - p5
269
+ LOSS_WEIGHT: 1.0
270
+ NAME: SemSegFPNHead
271
+ NORM: GN
272
+ NUM_CLASSES: 54
273
+ WEIGHTS: https://dl.fbaipublicfiles.com/detectron2/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl
274
+ OUTPUT_DIR: /content/drive/MyDrive/Dataset/model_output
275
+ SEED: -1
276
+ SOLVER:
277
+ AMP:
278
+ ENABLED: false
279
+ BASE_LR: 0.00025
280
+ BASE_LR_END: 0.0
281
+ BIAS_LR_FACTOR: 1.0
282
+ CHECKPOINT_PERIOD: 5000
283
+ CLIP_GRADIENTS:
284
+ CLIP_TYPE: value
285
+ CLIP_VALUE: 1.0
286
+ ENABLED: false
287
+ NORM_TYPE: 2.0
288
+ GAMMA: 0.1
289
+ IMS_PER_BATCH: 2
290
+ LR_SCHEDULER_NAME: WarmupMultiStepLR
291
+ MAX_ITER: 5000
292
+ MOMENTUM: 0.9
293
+ NESTEROV: false
294
+ NUM_DECAYS: 3
295
+ REFERENCE_WORLD_SIZE: 0
296
+ RESCALE_INTERVAL: false
297
+ STEPS: []
298
+ WARMUP_FACTOR: 0.001
299
+ WARMUP_ITERS: 1000
300
+ WARMUP_METHOD: linear
301
+ WEIGHT_DECAY: 0.0001
302
+ WEIGHT_DECAY_BIAS: null
303
+ WEIGHT_DECAY_NORM: 0.0
304
+ TEST:
305
+ AUG:
306
+ ENABLED: false
307
+ FLIP: true
308
+ MAX_SIZE: 4000
309
+ MIN_SIZES:
310
+ - 400
311
+ - 500
312
+ - 600
313
+ - 700
314
+ - 800
315
+ - 900
316
+ - 1000
317
+ - 1100
318
+ - 1200
319
+ DETECTIONS_PER_IMAGE: 100
320
+ EVAL_PERIOD: 500
321
+ EXPECTED_RESULTS: []
322
+ KEYPOINT_OKS_SIGMAS: []
323
+ PRECISE_BN:
324
+ ENABLED: false
325
+ NUM_ITER: 200
326
+ VERSION: 2
327
+ VIS_PERIOD: 0
model_final.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ec9600ea7ec5a14f6e562cc1d4d0a40b23077396fc97ef9c04830d59e765f26
3
+ size 351103780