@@ -73,9 +73,9 @@ For more help run following:
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```
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python object_detection/dataset_tools/create_pascal_tf_record.py -h
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```
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- An example path will be:
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+ An example will be:
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```
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- Python object_detection/dataset_tools/create_pascal_tf_record.py --data_dir=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/dataset --annotations_dir==Annotations --output_path=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/dataset/train .record --label_map_path=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/dataset/label.pbtxt
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+ Python object_detection/dataset_tools/create_pascal_tf_record.py --data_dir=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/dataset --annotations_dir==Annotations --output_path=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/dataset/CP .record --label_map_path=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/dataset/label.pbtxt
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```
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@@ -94,7 +94,7 @@ python object_detection/export_inference_graph.py --input_type=image_tensor --pi
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```
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An example will be
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```
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- python object_detection/export_inference_graph.py --input_type=image_tensor --pipeline_config_path=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/faster_rcnn_resnet101_coco.config --trained_checkpoint_prefix=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/train /model.ckpt-1691 --output_directory=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/IG
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+ python object_detection/export_inference_graph.py --input_type=image_tensor --pipeline_config_path=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/faster_rcnn_resnet101_coco.config --trained_checkpoint_prefix=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/CP /model.ckpt-1691 --output_directory=/Users/vijendra1125/Documents/tensorflow/object_detection/speaker_detection/IG
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```
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** Bonus: If you want to train your model using Google colab then check out the train.ipynb file**
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