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lines changed Original file line number Diff line number Diff line change 11.ipynb_checkpoints /
22video_data /
3- ! video_data /readme.md 
43.idea /
54examples /output.avi 
6- 
75pretrained_models /caffemodel_weights /
8- ! pretrained_models /caffemodel_weights /get_caffemodel.sh 
9- 
106pretrained_models /tensorflow_weights /
11- ! pretrained_models /tensorflow_weights /get_ssd_model.sh 
12- 
137pretrained_models /yolo_weights /
14- ! pretrained_models /yolo_weights /get_yolo.sh 
158
169#  Byte-compiled / optimized / DLL files
1710__pycache__ /
Original file line number Diff line number Diff line change 1+ #! /bin/sh
2+ 
3+ #  MobileNet-SSD model reference https://github.com/chuanqi305/MobileNet-SSD/
4+ 
5+ wget --no-check-certificate " https://drive.google.com/u/0/uc?id=0B3gersZ2cHIxRm5PMWRoTkdHdHc&export=download" ' MobileNetSSD_deploy.caffemodel' 
6+ wget " https://raw.githubusercontent.com/chuanqi305/MobileNet-SSD/daef68a6c2f5fbb8c88404266aa28180646d17e0/MobileNetSSD_deploy.prototxt" " MobileNetSSD_deploy.prototxt" 
Original file line number Diff line number Diff line change 1+ #! /bin/sh
2+ 
3+ #  Get models from https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API#use-existing-config-file-for-your-model
4+ 
5+ wget -c http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_coco_2018_03_29.tar.gz -O - |  tar -xz
6+ wget https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/ssd_mobilenet_v2_coco_2018_03_29.pbtxt
7+ 
8+ #  Tensorflow object detection API: https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API#use-existing-config-file-for-your-model
Original file line number Diff line number Diff line change 1+ #! /bin/bash
2+ wget https://pjreddie.com/media/files/yolov3.weights
3+ wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg
4+ wget https://raw.githubusercontent.com/pjreddie/darknet/master/data/coco.names
Original file line number Diff line number Diff line change 1+ # Data  
2+ 
3+ Save the video files in this folder.
4+ The example videos used can be downloaded from the following links:
5+ 
6+ *  cars: https://flic.kr/p/L6qyxj 
7+ *  cows: https://flic.kr/p/26WeEWy 
8+ *  people: https://flic.kr/p/7gWofV 
 
 
   
 
     
   
   
          
    
    
     
    
      
     
     
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