Print( "The following images will be analyzed: is a PIL.Image. Raise Inde圎rror( "Error: odd number of images. Otherwise, a 00 or 61 is probably missing. # Just base name of file for possibly using as short name in later functions. Leading '/' (on Windows, you need to provide 'C: \' instead).") Raise TypeError( "The path provided does not exist. Img_dir = input( "Please provide a directory path that has the images awaiting \ # Where are the new images that will need to be analyzed going to be stored? The fields of the Dict are as follows, where N is the number of detected instances:īoxes (FloatTensor): the predicted boxes in """The model returns a **Dict** during training, containing the classification and regression losses for both the RPN and the R-CNN, and the mask loss.ĭuring inference, the model requires only the input tensors, and returns the post-processed predictions as a **List]**, one for each input image. #The output from this can be cleared from the screen. filterwarnings( "ignore") #, message="UserWarning: Named tensors and all their associated") # GPU available for true Torch abilities, it will use CUDA, the protocol for GPU.ĭevice = torch. # This lets model and other settings choose between a CPU and GPU. Since it uses "coco_names" directly, justĬolor_n = np. 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush' 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'N/A', 'book', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'N/A', 'dining table', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'N/A', 'stop sign', '_background_', 'well', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', Staff have responded to the service with interest and. Traffic has been modest but significant (four chat sessions per day). North Carolina State University (NCSU) Libraries launched an online chat reference service in January using Library Systems and Services LLC''s (LSSI) Virtual Reference Desk. # so I would change the object directly until I know better. Virtual Reference at the NCSU Libraries: the first one hundred days. The first class in the original list is "person", not well, As the model is refined and more classes are added, may have to It's possible that the whole list isn't necessary, but I'm # This list is here because of the model. Will periodically check the functions for updates. John forked the Torch repo to keep the functions as the were at the time this code was originally written. #drive.mount('/content/drive', force_remount=True) # Torch libraries from further out on the pathįrom vision. # Check if directory for additional Torch libraries exists mask_rcnn import MaskRCNNPredictorįrom torchvision. faster_rcnn import FastRCNNPredictorįrom torchvision.
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