Faster RCNN for Images in Google Colab using cv2.dnn module | Object Detection using Opencv python скачать в хорошем качестве

Faster RCNN for Images in Google Colab using cv2.dnn module | Object Detection using Opencv python

In this video, we are going to do object detection in Opencv using the Faster RCNN model. We are going to use only Opencv and the entire code will run on Google Colab. I could not find any reliable implementation of Faster RCNN using the dnn module of Opencv. Opencv provides the dnn model which can be used for inferencing on images and video using only Opencv. There was an implementation of Mask RCNN which is nothing but Faster RCNN with segmentation. We use only the bounding boxes for our implementation. Since, the tutorial is based on using Google Colab, we don't have to install any library on our local machines. Code: https://github.com/DatumLearning/Fast... !git clone https://github.com/DatumLearning/Fast... coco_names = ["person" , "bicycle" , "car" , "motorcycle" , "airplane" , "bus" , "train" , "truck" , "boat" , "traffic light" , "fire hydrant" , "street sign" , "stop sign" , "parking meter" , "bench" , "bird" , "cat" , "dog" , "horse" , "sheep" , "cow" , "elephant" , "bear" , "zebra" , "giraffe" , "hat" , "backpack" , "umbrella" , "shoe" , "eye glasses" , "handbag" , "tie" , "suitcase" , "frisbee" , "skis" , "snowboard" , "sports ball" , "kite" , "baseball bat" , "baseball glove" , "skateboard" , "surfboard" , "tennis racket" , "bottle" , "plate" , "wine glass" , "cup" , "fork" , "knife" , "spoon" , "bowl" , "banana" , "apple" , "sandwich" , "orange" , "broccoli" , "carrot" , "hot dog" , "pizza" , "donut" , "cake" , "chair" , "couch" , "potted plant" , "bed" , "mirror" , "dining table" , "window" , "desk" , "toilet" , "door" , "tv" , "laptop" , "mouse" , "remote" , "keyboard" , "cell phone" , "microwave" , "oven" , "toaster" , "sink" , "refrigerator" , "blender" , "book" , "clock" , "vase" , "scissors" , "teddy bear" , "hair drier" , "toothbrush" , "hair brush"]