# 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^2.0.0:color_detect"