Create detect_and_export.py

[nachovoss]

Added a class for object detection using the YOLOV7 model that can export detections as txt, json, or csv files. The class can make predictions from an image, video, or dataset of images. All detection functions return a list of dictionaries of detected object classes and counts for each image. The class preprocesses the input image for input to the YOLOv7 model and runs object detection on the image to return a dictionary of the detected objects and their counts. The detected objects can be exported to txt, json, or csv files. The class also runs the YOLOv7 model on a dataset of images and a video, returning a list of dictionaries of detected object classes and counts for each image. The class is made with love by https://github.com/nachovoss and is free to use and modify under the MIT license. Thanks to the awesome developers who made YOLOv7 possible.

[TsaiCC0420]

Hello bro! How should i use it?

[nachovoss]

all good

[nachovoss]

Hello bro! How should i use it?
You have to go to my fork, select the branch patch-1 and there would be a pretty self-explanatory file called detect_and_export.py.
Usage It's pretty similar to detect.py, but the output is a text file, a Jason or a CSV containing the detections.

If you have any doubts, I will try to answer asap, have a great day!