We will go through the code a little bit here, we are basically passing the image inside, then going through the posenet model by doing code_code_multiple_poses to get the coordinates, then overlaying the image back to go through cv2.imshow('posenet', overlay_image) while True: input_image, display_image, output_scale = posenet.read_cap( cap, scale_factor=args.scale_factor, output_stride=output_stride) heatmaps_result, offsets_result, displacement_fwd_result, displacement_bwd_result = n( model_outputs, feed_dict='.format(output_path)) if _name_ = '_main_': tf.app.run()Īfter that we can launch the python file via and get the me ssd_mobilenet_v3_large_coco ssage $ python3 generate_tfrecord.py -csv_input=images/train_labels. The other reason being we can easily use posenet on Android devices for user consumption.įirst, we will install libraries needed pip3 install tensorflow-gpu scipy pyyaml pip3 install opencv-python=3.4.5.20įrom here you can clone my project git clone cd fitstream-jetson-nano python3 posenet_tensor_test.py The Logitech C920 USB Webcam was chosen as the video camera for this. We will be using google's original posenet model at 1) BeagleBone Black Single Board Computer (50), the 2) Logitech HD Pro Webcam. And this one will be based on tensorflow posenet. 9041 F: include/linux/hid 9042 F: include/uapi/linux/hid 9043 9044 HID LOGITECH DRIVERS 9045. We will be building a brand new one in this project that's not from there. 5168 5169 COMPAL LAPTOP SUPPORT 5170 M: Cezary Jackiewicz. There are currently a few AI based pose projects on Jetson, some of the featured on Jetson Community Project. Step 2: Setup tensorflow posenet on Jetson
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |