# Color Detection[[中文]](./README_cn.md) This project is an example of color detection interface. The input to this interface is a static image of different color blocks. The output is results of color enrollment, color detection, color segmentation, color deletion, and other functions provided by this interface, shown in Terminal. Below is the structure of this project: ```shell color_detect/ ├── CMakeLists.txt ├── rgby.jpg ├── main │ ├── app_main.cpp │ ├── CMakeLists.txt │ └── image.hpp ├── partitions.csv └── README.md └── README_cn.md ``` ## Run the Example 1. Open Terminal and go to esp-dl/examples/color_detect, the directory where this project is stored: ```shell cd ~/esp-dl/examples/color_detect ``` 2. Set SoC target: ```shell idf.py set-target [SoC] ``` Replace [SoC] with your target, such as esp32, esp32s2, and esp32s3. We recommend using the ESP32-S3 chip, which runs much faster than other chips for AI applications. 3. Flash the program and launch IDF monitor to obtain the results of functions: ```shell idf.py flash monitor ... ... the information of registered colors: name: red, thresh: 0, 10, 203, 255, 197, 255 name: green, thresh: 54, 62, 221, 255, 197, 255 name: blue, thresh: 96, 114, 179, 255, 230, 255 name: yellow, thresh: 19, 32, 214, 255, 247, 255 RGB888 | color detection result: color 0: detected box :2 center: (46, 14) box: (0, 0), (94, 30) area: 768 center: (14, 110) box: (0, 96), (30, 126) area: 256 color 1: detected box :2 center: (110, 30) box: (96, 0), (126, 62) area: 512 center: (30, 46) box: (0, 32), (62, 62) area: 512 color 2: detected box :2 center: (88, 68) box: (64, 32), (126, 94) area: 768 center: (14, 78) box: (0, 64), (30, 94) area: 256 color 3: detected box :1 center: (70, 102) box: (32, 64), (126, 126) area: 1024 RGB565 | color detection result: color 0: detected box :2 center: (46, 14) box: (0, 0), (94, 30) area: 768 center: (14, 110) box: (0, 96), (30, 126) area: 256 color 1: detected box :2 center: (110, 30) box: (96, 0), (126, 62) area: 512 center: (30, 46) box: (0, 32), (62, 62) area: 512 color 2: detected box :2 center: (88, 68) box: (64, 32), (126, 94) area: 768 center: (14, 78) box: (0, 64), (30, 94) area: 256 color 3: detected box :1 center: (70, 102) box: (32, 64), (126, 126) area: 1024 remained colors num: 3 Blue, Yellow | color detection result: color 0: detected box :2 center: (88, 68) box: (64, 32), (126, 94) area: 768 center: (14, 78) box: (0, 64), (30, 94) area: 256 color 1: detected box :1 center: (70, 102) box: (32, 64), (126, 126) area: 1024 Blue, Yellow | color segmentation result: color 0: detected box :2 box_index: 0, start col: 32, end col: 47, row: 16, area: 768 box_index: 0, start col: 32, end col: 47, row: 17, area: 768 box_index: 0, start col: 32, end col: 47, row: 18, area: 768 box_index: 0, start col: 32, end col: 47, row: 19, area: 768 box_index: 0, start col: 32, end col: 47, row: 20, area: 768 box_index: 0, start col: 32, end col: 47, row: 21, area: 768 box_index: 0, start col: 32, end col: 47, row: 22, area: 768 box_index: 0, start col: 32, end col: 47, row: 23, area: 768 box_index: 0, start col: 32, end col: 47, row: 24, area: 768 box_index: 0, start col: 32, end col: 47, row: 25, area: 768 box_index: 0, start col: 32, end col: 47, row: 26, area: 768 box_index: 0, start col: 32, end col: 47, row: 27, area: 768 box_index: 0, start col: 32, end col: 47, row: 28, area: 768 box_index: 0, start col: 32, end col: 47, row: 29, area: 768 box_index: 0, start col: 32, end col: 47, row: 30, area: 768 box_index: 0, start col: 32, end col: 47, row: 31, area: 768 box_index: 1, start col: 0, end col: 15, row: 32, area: 256 box_index: 0, start col: 32, end col: 63, row: 32, area: 768 box_index: 1, start col: 0, end col: 15, row: 33, area: 256 box_index: 0, start col: 32, end col: 63, row: 33, area: 768 box_index: 1, start col: 0, end col: 15, row: 34, area: 256 box_index: 0, start col: 32, end col: 63, row: 34, area: 768 box_index: 1, start col: 0, end col: 15, row: 35, area: 256 box_index: 0, start col: 32, end col: 63, row: 35, area: 768 box_index: 1, start col: 0, end col: 15, row: 36, area: 256 box_index: 0, start col: 32, end col: 63, row: 36, area: 768 box_index: 1, start col: 0, end col: 15, row: 37, area: 256 box_index: 0, start col: 32, end col: 63, row: 37, area: 768 box_index: 1, start col: 0, end col: 15, row: 38, area: 256 box_index: 0, start col: 32, end col: 63, row: 38, area: 768 box_index: 1, start col: 0, end col: 15, row: 39, area: 256 box_index: 0, start col: 32, end col: 63, row: 39, area: 768 box_index: 1, start col: 0, end col: 15, row: 40, area: 256 box_index: 0, start col: 32, end col: 63, row: 40, area: 768 box_index: 1, start col: 0, end col: 15, row: 41, area: 256 box_index: 0, start col: 32, end col: 63, row: 41, area: 768 box_index: 1, start col: 0, end col: 15, row: 42, area: 256 box_index: 0, start col: 32, end col: 63, row: 42, area: 768 box_index: 1, start col: 0, end col: 15, row: 43, area: 256 box_index: 0, start col: 32, end col: 63, row: 43, area: 768 box_index: 1, start col: 0, end col: 15, row: 44, area: 256 box_index: 0, start col: 32, end col: 63, row: 44, area: 768 box_index: 1, start col: 0, end col: 15, row: 45, area: 256 box_index: 0, start col: 32, end col: 63, row: 45, area: 768 box_index: 1, start col: 0, end col: 15, row: 46, area: 256 box_index: 0, start col: 32, end col: 63, row: 46, area: 768 box_index: 1, start col: 0, end col: 15, row: 47, area: 256 box_index: 0, start col: 32, end col: 63, row: 47, area: 768 color 1: detected box :1 box_index: 0, start col: 16, end col: 31, row: 32, area: 1024 box_index: 0, start col: 16, end col: 31, row: 33, area: 1024 box_index: 0, start col: 16, end col: 31, row: 34, area: 1024 box_index: 0, start col: 16, end col: 31, row: 35, area: 1024 box_index: 0, start col: 16, end col: 31, row: 36, area: 1024 box_index: 0, start col: 16, end col: 31, row: 37, area: 1024 box_index: 0, start col: 16, end col: 31, row: 38, area: 1024 box_index: 0, start col: 16, end col: 31, row: 39, area: 1024 box_index: 0, start col: 16, end col: 31, row: 40, area: 1024 box_index: 0, start col: 16, end col: 31, row: 41, area: 1024 box_index: 0, start col: 16, end col: 31, row: 42, area: 1024 box_index: 0, start col: 16, end col: 31, row: 43, area: 1024 box_index: 0, start col: 16, end col: 31, row: 44, area: 1024 box_index: 0, start col: 16, end col: 31, row: 45, area: 1024 box_index: 0, start col: 16, end col: 31, row: 46, area: 1024 box_index: 0, start col: 16, end col: 31, row: 47, area: 1024 box_index: 0, start col: 16, end col: 63, row: 48, area: 1024 box_index: 0, start col: 16, end col: 63, row: 49, area: 1024 box_index: 0, start col: 16, end col: 63, row: 50, area: 1024 box_index: 0, start col: 16, end col: 63, row: 51, area: 1024 box_index: 0, start col: 16, end col: 63, row: 52, area: 1024 box_index: 0, start col: 16, end col: 63, row: 53, area: 1024 box_index: 0, start col: 16, end col: 63, row: 54, area: 1024 box_index: 0, start col: 16, end col: 63, row: 55, area: 1024 box_index: 0, start col: 16, end col: 63, row: 56, area: 1024 box_index: 0, start col: 16, end col: 63, row: 57, area: 1024 box_index: 0, start col: 16, end col: 63, row: 58, area: 1024 box_index: 0, start col: 16, end col: 63, row: 59, area: 1024 box_index: 0, start col: 16, end col: 63, row: 60, area: 1024 box_index: 0, start col: 16, end col: 63, row: 61, area: 1024 box_index: 0, start col: 16, end col: 63, row: 62, area: 1024 box_index: 0, start col: 16, end col: 63, row: 63, area: 1024 ```
To create a project from this example, run:
idf.py create-project-from-example "espressif/esp-dl^1.1.0:color_detect"