Fixed Mask R-CNN code to handle older versions of Keras

mrcnn/model.py

@@ -2071,7 +2071,16 @@ class MaskRCNN():
         exlude: list of layer names to excluce
         """
         import h5py
-        from keras.engine import saving
+        # from keras.engine import saving
+        # Replaced according to code on https://github.com/matterport/Mask_RCNN/blob/master/mrcnn/model.py by:
+
+        # Conditional import to support versions of Keras before 2.2
+        # TODO: remove in about 6 months (end of 2018)
+        try:
+            from keras.engine import saving
+        except ImportError:
+            # Keras before 2.2 used the 'topology' namespace.
+            from keras.engine import topology as saving
 
         if exclude:
             by_name = True

prediction_tests.json

-[[{"category_id": 1026, "segmentation": [[169.0, 445.5, 139.0, 443.5, 80.0, 426.5, 58.0, 415.5, 51.5, 407.0, 40.5, 381.0, 32.5, 350.0, 23.5, 336.0, 21.5, 202.0, 27.5, 154.0, 43.0, 131.5, 58.0, 127.5, 73.0, 114.5, 121.0, 94.5, 147.0, 87.5, 164.0, 86.5, 181.0, 77.5, 207.0, 71.5, 243.0, 68.5, 283.0, 73.5, 300.0, 83.5, 315.0, 85.5, 331.0, 100.5, 345.0, 107.5, 353.0, 117.5, 378.0, 128.5, 391.0, 129.5, 408.0, 144.5, 421.5, 150.0, 431.5, 180.0, 431.5, 194.0, 438.5, 208.0, 441.5, 294.0, 437.5, 321.0, 423.5, 349.0, 409.0, 367.5, 396.0, 375.5, 378.0, 395.5, 356.0, 404.5, 330.0, 422.5, 315.0, 428.5, 287.0, 433.5, 251.0, 431.5, 169.0, 445.5], [347.5, 226.0, 373.0, 212.5, 376.5, 206.0, 367.5, 194.0, 374.5, 179.0, 368.0, 170.5, 358.5, 166.0, 363.5, 151.0, 350.5, 141.0, 346.0, 132.5, 333.0, 141.5, 320.0, 140.5, 315.0, 136.5, 310.0, 142.5, 292.0, 148.5, 269.5, 166.0, 270.0, 196.5, 282.0, 200.5, 287.0, 208.5, 309.0, 217.5, 316.0, 224.5, 347.5, 226.0], [242.5, 382.0, 254.0, 378.5, 270.0, 378.5, 277.0, 368.5, 285.5, 365.0, 280.5, 353.0, 285.5, 335.0, 275.0, 329.5, 255.0, 310.5, 240.0, 322.5, 231.0, 320.5, 225.0, 312.5, 222.5, 322.0, 206.5, 335.0, 221.5, 379.0, 242.5, 382.0]], "score": 0.49339762330055237, "bbox": [21.0, 59.0, 423.0, 399.0], "image_id": 32275}, {"category_id": 1069, "segmentation": [[355.0, 241.5, 340.0, 241.5, 333.0, 238.5, 326.0, 225.5, 308.0, 214.5, 299.0, 212.5, 283.0, 214.5, 276.0, 223.5, 261.0, 229.5, 259.0, 225.5, 247.5, 220.0, 238.5, 201.0, 231.5, 194.0, 236.5, 184.0, 232.5, 171.0, 254.0, 164.5, 261.0, 155.5, 276.0, 148.5, 303.0, 144.5, 331.0, 148.5, 338.0, 159.5, 354.5, 171.0, 353.0, 183.5, 375.0, 184.5, 383.5, 193.0, 383.5, 226.0, 371.0, 236.5, 355.0, 241.5], [269.0, 238.5, 266.5, 237.0, 269.0, 229.5, 269.0, 238.5], [253.0, 240.5, 248.5, 237.0, 251.0, 232.5, 257.5, 235.0, 253.0, 240.5], [165.0, 282.5, 146.5, 278.0, 144.5, 256.0, 147.0, 234.5, 163.0, 239.5, 184.0, 254.5, 203.5, 259.0, 202.5, 273.0, 193.0, 281.5, 173.0, 279.5, 165.0, 282.5], [270.0, 264.5, 265.5, 259.0, 269.0, 253.5, 287.5, 259.0, 270.0, 264.5], [284.0, 282.5, 268.5, 281.0, 287.5, 281.0, 284.0, 282.5], [280.0, 385.5, 221.0, 383.5, 211.0, 380.5, 205.0, 373.5, 199.0, 371.5, 181.5, 325.0, 184.5, 315.0, 183.5, 300.0, 198.0, 293.5, 210.0, 295.5, 226.0, 301.5, 233.5, 315.0, 244.0, 320.5, 269.0, 321.5, 278.0, 316.5, 286.0, 323.5, 285.5, 336.0, 295.0, 335.5, 305.5, 346.0, 314.5, 366.0, 314.5, 376.0, 313.0, 380.5, 280.0, 385.5], [278.0, 303.5, 278.0, 303.5]], "score": 0.2600328326225281, "bbox": [143.0, 78.0, 245.0, 308.0], "image_id": 32275}]]
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+[[{"category_id": 1026, "segmentation": [[169.0, 445.5, 139.0, 443.5, 80.0, 426.5, 58.0, 415.5, 51.5, 407.0, 40.5, 381.0, 32.5, 350.0, 23.5, 336.0, 21.5, 202.0, 27.5, 154.0, 43.0, 131.5, 58.0, 127.5, 73.0, 114.5, 121.0, 94.5, 147.0, 87.5, 164.0, 86.5, 181.0, 77.5, 207.0, 71.5, 243.0, 68.5, 283.0, 73.5, 300.0, 83.5, 315.0, 85.5, 331.0, 100.5, 345.0, 107.5, 353.0, 117.5, 378.0, 128.5, 391.0, 129.5, 408.0, 144.5, 421.5, 150.0, 431.5, 180.0, 431.5, 194.0, 438.5, 208.0, 441.5, 294.0, 437.5, 321.0, 423.5, 349.0, 409.0, 367.5, 396.0, 375.5, 378.0, 395.5, 356.0, 404.5, 330.0, 422.5, 315.0, 428.5, 287.0, 433.5, 251.0, 431.5, 169.0, 445.5], [347.5, 226.0, 373.0, 212.5, 376.5, 206.0, 367.5, 194.0, 374.5, 179.0, 368.0, 170.5, 358.5, 166.0, 363.5, 151.0, 350.5, 141.0, 346.0, 132.5, 333.0, 141.5, 320.0, 140.5, 315.0, 136.5, 310.0, 142.5, 292.0, 148.5, 269.5, 166.0, 270.0, 196.5, 282.0, 200.5, 287.0, 208.5, 309.0, 217.5, 316.0, 224.5, 347.5, 226.0], [242.5, 382.0, 254.0, 378.5, 270.0, 378.5, 277.0, 368.5, 285.5, 365.0, 280.5, 353.0, 285.5, 335.0, 275.0, 329.5, 255.0, 310.5, 240.0, 322.5, 231.0, 320.5, 225.0, 312.5, 222.5, 322.0, 206.5, 335.0, 221.5, 379.0, 242.5, 382.0]], "score": 0.49339866638183594, "bbox": [21.0, 59.0, 423.0, 399.0], "image_id": 32275}, {"category_id": 1069, "segmentation": [[355.0, 241.5, 340.0, 241.5, 333.0, 238.5, 326.0, 225.5, 308.0, 214.5, 299.0, 212.5, 283.0, 214.5, 276.0, 223.5, 261.0, 229.5, 259.0, 225.5, 247.5, 220.0, 238.5, 201.0, 231.5, 194.0, 236.5, 184.0, 232.5, 171.0, 254.0, 164.5, 261.0, 155.5, 276.0, 148.5, 303.0, 144.5, 331.0, 148.5, 338.0, 159.5, 354.5, 171.0, 353.0, 183.5, 375.0, 184.5, 383.5, 193.0, 383.5, 226.0, 371.0, 236.5, 355.0, 241.5], [269.0, 238.5, 266.5, 237.0, 269.0, 229.5, 269.0, 238.5], [253.0, 240.5, 248.5, 237.0, 251.0, 232.5, 257.5, 235.0, 253.0, 240.5], [165.0, 282.5, 146.5, 278.0, 144.5, 256.0, 147.0, 234.5, 163.0, 239.5, 184.0, 254.5, 203.5, 259.0, 202.5, 273.0, 193.0, 281.5, 173.0, 279.5, 165.0, 282.5], [270.0, 264.5, 265.5, 259.0, 269.0, 253.5, 287.5, 259.0, 270.0, 264.5], [284.0, 282.5, 268.5, 281.0, 287.5, 281.0, 284.0, 282.5], [280.0, 385.5, 221.0, 383.5, 211.0, 380.5, 205.0, 373.5, 199.0, 371.5, 181.5, 325.0, 184.5, 315.0, 183.5, 300.0, 198.0, 293.5, 210.0, 295.5, 226.0, 301.5, 233.5, 315.0, 244.0, 320.5, 269.0, 321.5, 278.0, 316.5, 286.0, 323.5, 285.5, 336.0, 295.0, 335.5, 305.5, 346.0, 314.5, 366.0, 314.5, 376.0, 313.0, 380.5, 280.0, 385.5], [278.0, 303.5, 278.0, 303.5]], "score": 0.26003336906433105, "bbox": [143.0, 78.0, 245.0, 308.0], "image_id": 32275}]]
\ No newline at end of file