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| | | 1. Download for Android phone mjpeg-stream soft: IP Webcam / Smart WebCam |
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| | | Smart WebCam - preferably: https://play.google.com/store/apps/details?id=com.acontech.android.SmartWebCam |
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| | | IP Webcam: https://play.google.com/store/apps/details?id=com.pas.webcam |
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| | | * Smart WebCam - preferably: https://play.google.com/store/apps/details?id=com.acontech.android.SmartWebCam2 |
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| | | * IP Webcam: https://play.google.com/store/apps/details?id=com.pas.webcam |
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| | | 2. Connect your Android phone to computer by WiFi (through a WiFi-router) or USB |
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| | | 3. Start Smart WebCam on your phone |
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| | | 1. Download pre-trained weights for the convolutional layers (76 MB): http://pjreddie.com/media/files/darknet19_448.conv.23 and put to the directory `build\darknet\x64` |
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| | | 2. Download The Pascal VOC Data and unpack it to directory `build\darknet\x64\data\voc`: http://pjreddie.com/projects/pascal-voc-dataset-mirror/ will be created file `voc_label.py` and `\VOCdevkit\` dir |
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| | | 2. Download The Pascal VOC Data and unpack it to directory `build\darknet\x64\data\voc` will be created dir `build\darknet\x64\data\voc\VOCdevkit\`: |
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| | | * http://pjreddie.com/media/files/VOCtrainval_11-May-2012.tar |
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| | | * http://pjreddie.com/media/files/VOCtrainval_06-Nov-2007.tar |
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| | | * http://pjreddie.com/media/files/VOCtest_06-Nov-2007.tar |
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| | | 2.1 Download file `voc_label.py` to dir `build\darknet\x64\data\voc`: http://pjreddie.com/media/files/voc_label.py |
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| | | 3. Download and install Python for Windows: https://www.python.org/ftp/python/3.5.2/python-3.5.2-amd64.exe |
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