kopia lustrzana https://github.com/espressif/esp-idf
change(jpeg): modify open_rgb.py for its now supporting open YUV files
Cao Sen Miao
rodzic
8a66e059e9
commit
fc9eece101
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@ -51,7 +51,7 @@ I (13336) jpeg.example: Card unmounted
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I (13336) main_task: Returned from app_main()
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```
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Moreover, we provided a helper script called `open_rgb.py`, which can help you easily see the outputs on your computer. For requirements component you need, you can call `pip install -r requirements.txt` under `examples/peripheral/jpeg/jpeg_decode` folder.
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Also, the helper script [open_raw_picture.py](./open_raw_picture.py) simplifies the visualization of the output on your computer. For this to work, go to `examples/peripheral/jpeg/jpeg_decode` and install the requirements by running `pip install -r requirements.txt`.
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## Troubleshooting
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@ -0,0 +1,189 @@
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# SPDX-FileCopyrightText: 2024 Espressif Systems (Shanghai) CO LTD
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# SPDX-License-Identifier: Unlicense OR CC0-1.0
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import argparse
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import cv2 as cv
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import numpy as np
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from numpy.typing import NDArray
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def open_picture(path): # type: (str) -> list[int]
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with open(path, 'rb') as f:
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data = f.read()
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f.close()
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new_data = [int(x) for x in data]
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return new_data
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def picture_show_rgb888(data, h, w): # type: (list[int], int, int) -> None
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data = np.array(data).reshape(h, w, 3).astype(np.uint8)
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cv.imshow('data', data)
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cv.waitKey()
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def picture_show_rgb565(data, h, w): # type: (list[int], int, int) -> None
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new_data = [0] * ((len(data) // 2) * 3)
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for i in range(len(data)):
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if i % 2 != 0:
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new_data[3 * (i - 1) // 2 + 2] = (data[i] & 0xf8)
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new_data[3 * (i - 1) // 2 + 1] |= (data[i] & 0x7) << 5
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else:
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new_data[3 * i // 2] = (data[i] & 0x1f) << 3
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new_data[3 * i // 2 + 1] |= (data[i] & 0xe0) >> 3
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new_data = np.array(new_data).reshape(h, w, 3).astype(np.uint8)
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cv.imshow('data', new_data)
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cv.waitKey()
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def picture_show_gray(data, h, w): # type: (list[int], int, int) -> None
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new_data = np.array(data).reshape(h, w, 1).astype(np.uint8)
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cv.imshow('data', new_data)
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cv.waitKey()
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def convert_YUV_to_RGB(Y, U, V): # type: (NDArray, NDArray, NDArray) -> tuple[NDArray, NDArray, NDArray]
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B = np.clip(Y + 1.7790 * (U - 128), 0, 255).astype(np.uint8)
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G = np.clip(Y - 0.3455 * (U - 128) - 0.7169 * (V - 128), 0, 255).astype(np.uint8)
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R = np.clip(Y + 1.4075 * (V - 128), 0, 255).astype(np.uint8)
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return B, G, R
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def picture_show_yuv420(data, h, w): # type: (list[int], int, int) -> None
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new_u = [0] * (h * w)
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new_v = [0] * (h * w)
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new_y = [0] * (h * w)
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for i in range(int(h * w * 1.5)):
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is_even_row = ((i // (w * 1.5)) % 2 == 0)
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if is_even_row:
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if (i % 3 == 0):
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new_u[(i // 3) * 2] = data[i]
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new_u[(i // 3) * 2 + 1] = data[i]
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else:
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if (i % 3 == 0):
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new_u[(i // 3) * 2] = new_u[int((i - (w * 1.5)) // 3) * 2]
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new_u[(i // 3) * 2 + 1] = new_u[int((i - (w * 1.5)) // 3) * 2 + 1]
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for i in range(int(h * w * 1.5)):
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if (i // (w * 1.5)) % 2 != 0 and (i % 3 == 0):
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idx = (i // 3) * 2
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new_v[idx] = data[i]
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new_v[idx + 1] = data[i]
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for i in range(int(h * w * 1.5)):
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if (i // (w * 1.5)) % 2 == 0 and (i % 3 == 0):
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idx = (i // 3) * 2
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new_v[idx] = new_v[int((i + (w * 1.5)) // 3) * 2]
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new_v[idx + 1] = new_v[int((i + (w * 1.5)) // 3) * 2 + 1]
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new_y = [data[i] for i in range(int(h * w * 1.5)) if i % 3 != 0]
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Y = np.array(new_y)
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U = np.array(new_u)
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V = np.array(new_v)
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B, G, R = convert_YUV_to_RGB(Y, U, V)
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# Merge channels
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new_data = np.stack((B, G, R), axis=-1)
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new_data = np.array(new_data).reshape(h, w, 3).astype(np.uint8)
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# Display the image
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cv.imshow('data', new_data)
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cv.waitKey()
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def picture_show_yuv422(data, h, w): # type: (list[int], int, int) -> None
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# Reshape the input data to a 2D array
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data_array = np.array(data).reshape(h, w * 2)
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# Separate Y, U, and V channels
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Y = data_array[:, 1::2]
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U = data_array[:, 0::4].repeat(2, axis=1)
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V = data_array[:, 2::4].repeat(2, axis=1)
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# Convert YUV to RGB
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B, G, R = convert_YUV_to_RGB(Y, U, V)
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# Merge channels
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new_data = np.stack((B, G, R), axis=-1)
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# Display the image
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cv.imshow('data', new_data)
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cv.waitKey()
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def picture_show_yuv444(data, h, w): # type: (list[int], int, int) -> None
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# Reshape the input data to a 2D array
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data_array = np.array(data).reshape(h, w * 3)
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# Separate Y, U, and V channels
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Y = data_array[:, 2::3]
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U = data_array[:, 1::3]
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V = data_array[:, 0::3]
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# Convert YUV to RGB
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B, G, R = convert_YUV_to_RGB(Y, U, V)
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# Merge channels
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new_data = np.stack((B, G, R), axis=-1)
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# Display the image
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cv.imshow('data', new_data)
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cv.waitKey()
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def main(): # type: () -> None
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parser = argparse.ArgumentParser(description='which mode need to show')
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parser.add_argument(
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'--pic_path',
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type=str,
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help='What is the path of your picture',
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required=True)
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parser.add_argument(
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'--pic_type',
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type=str,
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help='What type you want to show',
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required=True,
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choices=['rgb565', 'rgb888', 'gray', 'yuv422', 'yuv420', 'yuv444'])
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parser.add_argument(
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'--height',
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type=int,
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help='the picture height',
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default=480)
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parser.add_argument(
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'--width',
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type=int,
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help='the picture width',
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default=640)
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args = parser.parse_args()
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height = args.height
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width = args.width
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data = open_picture('/media/simon/USB STICK/420.YUV')
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if (args.pic_type == 'rgb565'):
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picture_show_rgb565(data, height, width)
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elif (args.pic_type == 'rgb888'):
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picture_show_rgb888(data, height, width)
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elif (args.pic_type == 'gray'):
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picture_show_gray(data, height, width)
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elif (args.pic_type == 'yuv420'):
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picture_show_yuv420(data, height, width)
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elif (args.pic_type == 'yuv422'):
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picture_show_yuv422(data, height, width)
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elif (args.pic_type == 'yuv444'):
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picture_show_yuv444(data, height, width)
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else:
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print('This type is not supported in this script!')
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if __name__ == '__main__':
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main()
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@ -1,91 +0,0 @@
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# SPDX-FileCopyrightText: 2024 Espressif Systems (Shanghai) CO LTD
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# SPDX-License-Identifier: Unlicense OR CC0-1.0
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import argparse
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import cv2 as cv
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import numpy as np
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def open_picture(path): # type: (str) -> list[int]
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with open(path, 'rb') as f:
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data = f.read()
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f.close()
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new_data = [int(x) for x in data]
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return new_data
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def picture_show_rgb888(data, h, w): # type: (list[int], int, int) -> None
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data = np.array(data).reshape(h, w, 3).astype(np.uint8)
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cv.imshow('data', data)
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cv.waitKey()
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def picture_show_rgb565(data, h, w): # type: (list[int], int, int) -> None
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new_data = [0] * ((len(data) // 2) * 3)
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for i in range(len(data)):
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if i % 2 != 0:
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new_data[3 * (i - 1) // 2 + 2] = (data[i] & 0xf8)
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new_data[3 * (i - 1) // 2 + 1] |= (data[i] & 0x7) << 5
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else:
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new_data[3 * i // 2] = (data[i] & 0x1f) << 3
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new_data[3 * i // 2 + 1] |= (data[i] & 0xe0) >> 3
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new_data = np.array(new_data).reshape(h, w, 3).astype(np.uint8)
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cv.imshow('data', new_data)
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cv.waitKey()
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def picture_show_gray(data, h, w): # type: (list[int], int, int) -> None
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new_data = np.array(data).reshape(h, w, 1).astype(np.uint8)
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cv.imshow('data', new_data)
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cv.waitKey()
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def main(): # type: () -> None
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parser = argparse.ArgumentParser(description='which mode need to show')
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parser.add_argument(
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'--pic_path',
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type=str,
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help='What is the path of your picture',
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required=True)
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parser.add_argument(
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'--pic_type',
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type=str,
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help='What type you want to show',
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required=True,
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choices=['rgb565', 'rgb888', 'gray'])
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parser.add_argument(
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'--hight',
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type=int,
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help='the picture hight',
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default=480)
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parser.add_argument(
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'--width',
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type=int,
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help='the picture width',
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default=640)
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args = parser.parse_args()
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hight = args.hight
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width = args.width
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data = open_picture(args.pic_path)
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if (args.pic_type == 'rgb565'):
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picture_show_rgb565(data, hight, width)
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elif (args.pic_type == 'rgb888'):
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picture_show_rgb888(data, hight, width)
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elif (args.pic_type == 'gray'):
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picture_show_gray(data, hight, width)
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else:
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print('This type is not supported in this script!')
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if __name__ == '__main__':
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main()
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