Closed anilkagak2 closed 5 years ago
The object detection model you are using to detect the potential objects in the image seems to be incorrect.
Your readme points to the faster_rcnn_inception_resnet_v2_atrous_oidv2 detector with the url link http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28.tar.gz
The label map used by the detector is https://github.com/tensorflow/models/blob/r1.13.0/research/object_detection/data/oid_bbox_trainable_label_map.pbtxt (this has < 600 labels). While your input data train.tfrec and rest of the records have more than this many labels. Any idea why is there a discrepancy?
The object detection model you are using to detect the potential objects in the image seems to be incorrect.
Your readme points to the faster_rcnn_inception_resnet_v2_atrous_oidv2 detector with the url link http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28.tar.gz
The label map used by the detector is https://github.com/tensorflow/models/blob/r1.13.0/research/object_detection/data/oid_bbox_trainable_label_map.pbtxt (this has < 600 labels). While your input data train.tfrec and rest of the records have more than this many labels. Any idea why is there a discrepancy?