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Kickjaw/Glochidia-Detection
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coding standards methods -> mMethod objects -> oObject dataclass -> dClass measuring objects in images https://www.pyimagesearch.com/2016/03/28/measuring-size-of-objects-in-an-image-with-opencv/ need to tile input images https://stackoverflow.com/questions/38235643/getting-started-with-tensorflow-split-image-into-sub-images yolov4 weights in python https://dsbyprateekg.blogspot.com/2020/08/how-to-use-opencv-python-with-darknets.html https://www.youtube.com/watch?v=FjyF03uawsA deep nueral networks in opencv https://docs.opencv.org/3.4/d6/d0f/group__dnn.html#ga138439da76f26266fdefec9723f6c5cd https://learnopencv.com/deep-learning-with-opencvs-dnn-module-a-definitive-guide/#what-is-opencvv-dnn-module https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ building as .exe https://stackoverflow.com/questions/12059509/create-a-single-executable-from-a-python-project things to add: circle masking file load blocking for not acceptable images exception handling edge case error logging event logging data table creatation measuring of mussels Notes: V1 UI load an image pan/zoom on image cirlce mask cut display detections easily distinguish between classes toggle on/off display count input pixel to inch scaling factor scrolling table on the right of the detections DATA total count of differnt classes mussel mussel_open mussel_half measurements: length width aligned to muscle flag bad detections by measurements? OUTPUT table of measurements ID mussel class length width flag for bad data? error log event log build as .exe or universal exacutable V2 interactable bounding boxs that effect table alternative setups alternative resolutions automatic sclaing factor input with known dimensional target measurements - add hinge
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Front end for mussel detection
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