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6_part actual CSGO object detection/README.md

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@@ -13,7 +13,7 @@ Welcome to part 6 of our TensorFlow Object Detection API tutorial series. In thi
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Now when training is complete, the last step is to generate the frozen inference graph (our detection model). Copy export_inference_graph.py file and paste it to ```/object_detection``` folder, then from command promt issue the following command, where “XXXX” in “model.ckpt-XXXX” should be replaced with the highest-numbered .ckpt file in the training folder:
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```
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python export_inference_graph.py --input_type image_tensor --pipeline_config_path CSGO_training/faster_rcnn_inception_v2_coco.config --trained_checkpoint_prefix CSGO_training/model.ckpt-XXXX --output_directory CSGO_inference_graph
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python export_inference_graph.py --input_type image_tensor --pipeline_config_path CSGO_training/faster_rcnn_inception_v2_coco.config --trained_checkpoint_prefix CSGO_training_dir/model.ckpt-XXXX --output_directory CSGO_inference_graph
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```
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### Use our trained custom object detection classifier:

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