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murtazahassan/OpenCV-Python-Tutorials-and-Projects
An easy to follow course of OpenCV using Python for beginners.
A YouTube course companion repo for learning OpenCV with Python, structured as basics → intermediate → projects. Aimed squarely at beginners who want working code to follow along with video tutorials — drone tracking, document scanning, face recognition, gesture control.
The project ladder is well-chosen: warp perspective and contour detection are taught before they're used in projects, so the progression makes sense. The 'joining multiple images to display' utility is a small but practical pattern that tutorial code almost always skips. Projects like the OMR grader and object measurement are more useful than the usual 'draw a rectangle' demos. Code is short and readable — no abstraction layers between a beginner and what OpenCV is actually doing.
Dead since October 2022 and teaches Haar cascades as the primary detection method, which is a significant disservice — anyone following this today will immediately hit a wall when trying to go further since the field moved to YOLO/ONNX years ago. No requirements.txt or environment setup file beyond 'install PyCharm', so version mismatches are guaranteed. The README is essentially a table of links to other repos and YouTube videos — the actual content lives scattered across multiple repositories, making this more of an index than a usable standalone resource. Several typos in filenames and comments ('objectDetectoin.py', 'Intsall.py') suggest the code was never reviewed.