removing base_module] fbcode/deeplearning/projects/cityscapesApi/TARGETS

Reviewed By: azad-meta

Differential Revision: D67442902

fbshipit-source-id: 71e9da8b63cc5cbd7a68f51651ce0dcaece8b0db

Author: generatedunixname89002005287564

detectron2/data/datasets/cityscapes.py

@@ -82,7 +82,7 @@ def load_cityscapes_instances(image_dir, gt_dir, from_json=True, to_polygons=Tru
     logger.info("Loaded {} images from {}".format(len(ret), image_dir))
 
     # Map cityscape ids to contiguous ids
-    from cityscapesscripts.helpers.labels import labels
+    from deeplearning.projects.cityscapesApi.cityscapesscripts.helpers.labels import labels
 
     labels = [l for l in labels if l.hasInstances and not l.ignoreInEval]
     dataset_id_to_contiguous_id = {l.id: idx for idx, l in enumerate(labels)}
@@ -138,7 +138,7 @@ def _cityscapes_files_to_dict(files, from_json, to_polygons):
     Returns:
         A dict in Detectron2 Dataset format.
     """
-    from cityscapesscripts.helpers.labels import id2label, name2label
+    from deeplearning.projects.cityscapesApi.cityscapesscripts.helpers.labels import id2label, name2label
 
     image_file, instance_id_file, _, json_file = files
 
@@ -294,7 +294,7 @@ def main() -> None:
     parser.add_argument("gt_dir")
     parser.add_argument("--type", choices=["instance", "semantic"], default="instance")
     args = parser.parse_args()
-    from cityscapesscripts.helpers.labels import labels
+    from deeplearning.projects.cityscapesApi.cityscapesscripts.helpers.labels import labels
     from detectron2.data.catalog import Metadata
     from detectron2.utils.visualizer import Visualizer
 

detectron2/evaluation/cityscapes_evaluation.py

@@ -58,7 +58,7 @@ class CityscapesInstanceEvaluator(CityscapesEvaluator):
     """
 
     def process(self, inputs, outputs):
-        from cityscapesscripts.helpers.labels import name2label
+        from deeplearning.projects.cityscapesApi.cityscapesscripts.helpers.labels import name2label
 
         for input, output in zip(inputs, outputs):
             file_name = input["file_name"]
@@ -96,7 +96,7 @@ def evaluate(self):
         comm.synchronize()
         if comm.get_rank() > 0:
             return
-        import cityscapesscripts.evaluation.evalInstanceLevelSemanticLabeling as cityscapes_eval
+        import deeplearning.projects.cityscapesApi.cityscapesscripts.evaluation.evalInstanceLevelSemanticLabeling as cityscapes_eval, deeplearning.projects.cityscapesApi.cityscapesscripts.evaluation.evalInstanceLevelSemanticLabeling
 
         self._logger.info("Evaluating results under {} ...".format(self._temp_dir))
 
@@ -140,7 +140,7 @@ class CityscapesSemSegEvaluator(CityscapesEvaluator):
     """
 
     def process(self, inputs, outputs):
-        from cityscapesscripts.helpers.labels import trainId2label
+        from deeplearning.projects.cityscapesApi.cityscapesscripts.helpers.labels import trainId2label
 
         for input, output in zip(inputs, outputs):
             file_name = input["file_name"]
@@ -161,7 +161,7 @@ def evaluate(self):
             return
         # Load the Cityscapes eval script *after* setting the required env var,
         # since the script reads CITYSCAPES_DATASET into global variables at load time.
-        import cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as cityscapes_eval
+        import deeplearning.projects.cityscapesApi.cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as cityscapes_eval, deeplearning.projects.cityscapesApi.cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling
 
         self._logger.info("Evaluating results under {} ...".format(self._temp_dir))