I am trying to convert custom-made coco annotations including objects and masks to TFRecords by running create_coco_tf_record.py from “TLT MaskRCNN example usecase”, but it keeps asking for caption_annotation_file.
INFO:tensorflow:Building bounding box index.
I0312 01:04:05.183368 140534908258048 create_coco_tf_record.py:212] Building bounding box index.
INFO:tensorflow:286 images are missing bboxes.
I0312 01:04:05.184590 140534908258048 create_coco_tf_record.py:223] 286 images are missing bboxes.
Traceback (most recent call last):
File “/workspace/server/create_coco_tf_record.py”, line 333, in
app.run(main)
File “/usr/local/lib/python3.6/dist-packages/absl/app.py”, line 299, in run
_run_main(main, args)
File “/usr/local/lib/python3.6/dist-packages/absl/app.py”, line 250, in _run_main
sys.exit(main(argv))
File “/workspace/server/create_coco_tf_record.py”, line 321, in main
num_shards=256)
File “/workspace/server/create_coco_tf_record.py”, line 275, in _create_tf_record_from_coco_annotations
_load_caption_annotations(caption_annotations_file))
File “/workspace/server/create_coco_tf_record.py”, line 230, in _load_caption_annotations
caption_annotations = json.load(fid)
File “/usr/lib/python3.6/json/init.py”, line 296, in load
return loads(fp.read(),
File “/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/lib/io/file_io.py”, line 122, in read
self._preread_check()
File “/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/lib/io/file_io.py”, line 84, in _preread_check
compat.as_bytes(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory
Is there any way we convert coco annotations for just masks and not passing any caption using TLT.
I am using "nvcr.io/nvidia/tlt-streamanalytics:v2.0_py3 " docker container and the converter can be find /workspace/examples/maskrcnn/create_coco_tf_record.py