![]() These 2 models should be placed in the samples folder. ĭownload the file mask_rcnn_balloon.h5 from Mask_RCNN_2.1 file and mask_rcnn_coco.h5 model from Mask_RCNN_2.0 file. ![]() □ Step 5: Download the pre-trained weights from. The requirements.txt file will load the libraries needed for your project in batch. □ Step 4: Mask RCNN must be installed in the requirements.txt file located in the GitHub store. □ Step 3: The Mask RCNN published by Matterport is cloned from the GitHub repository. □ Step 2: The maskrcnn virtual environment is activated. ![]() ![]() □ Step 1: Compatible with Python 3.6 version, a virtual environment named maskrcnn is created in conda prompt. ![]()
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