OpenMV固件源码
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Kwabena W. Agyeman fc9c416a21 Frame Differencing with Shadow Removal
Add in support for shadow removal from the current image using a shadow
free background image. Test results show the algorithm works similar to
max() while still keeping dark objects around. The preformance impact of
the algorithm is not too high. An in memory example can achieve 30 FPS.
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OpenMV (Open-Source Machine Vision)

The OpenMV project aims at making machine vision more accessible to beginners by developing a user-friendly, open-source, low-cost machine vision platform.

OpenMV cameras are programmable in Python3 and come with an extensive set of image processing functions such as face detection, keypoints descriptors, color tracking, QR and Bar codes decoding, AprilTags, GIF and MJPEG recording and more. Additionally, OpenMV includes a cross-platform IDE (based on Qt Creator) designed specifically to support programmable cameras. The IDE allows viewing the camera's frame buffer, accessing sensor controls, uploading scripts to the camera via serial over USB (or WiFi/BLE if available) and includes a set of image processing tools to generate tags, thresholds, keypoints etc...

The first generation of OpenMV cameras is based on STM32F ARM Cortex-M Digital Signal Controllers (DSCs) and Omnivision sensors. The board has built-in RGB and IR LEDs, USB FS for programming and video streaming, uSD socket and I/O headers breaking out PWM, UARTs, SPI and I2C. Additionally, OpenMV supports extension modules (shields) using the I/O headers such as WiFi, BLE, Thermal (FIR) and LCD shields.

The OpenMV project was successfully funded via Kickstarter back in 2015 and has come a long way since then. For more information, please visit https://openmv.io