如何在 Python 中捕获 RaspberryPi 相机 10 位原始图像

你可以使用 picamera Python 库捕获通过 CSI 连接到 Raspberry Pi 的相机的原始传感器图像：

capture_raw_rawimg.py

#!/usr/bin/env python3
import picamera
import picamera.array
import numpy as np

# 捕获图像
print("正在捕获图像...")
with picamera.PiCamera() as camera:
    with picamera.array.PiBayerArray(camera) as stream:
        camera.capture(stream, 'jpeg', bayer=True)
        # 去马赛克数据并写入 rawimg
        # (stream.array 包含未去马赛克的数据)
        rawimg = stream.demosaic()

#!/usr/bin/env python3
import picamera
import picamera.array
import numpy as np

# 捕获图像
print("正在捕获图像...")
with picamera.PiCamera() as camera:
    with picamera.array.PiBayerArray(camera) as stream:
        camera.capture(stream, 'jpeg', bayer=True)
        # 去马赛克数据并写入 rawimg
        # (stream.array 包含未去马赛克的数据)
        rawimg = stream.demosaic()

rawimg 是维度为 (w, h, 3)（例如 (1944, 2592, 3)）的 numpy uint16 数组，包含从 0 到 1023 的整数值。

例如，你可以使用以下命令将其保存为 NumPy 文件

save_rawimg_npy.py

np.save("rawimg.npy", rawimg) # Reload with np.load("rawimg.npy")

np.save("rawimg.npy", rawimg) # Reload with np.load("rawimg.npy")

或使用以下命令以压缩格式保存

save_rawimg_npz.py

np.savez_compressed("rawimg.npz", rawimg) # Reload with np.load("rawimg.npz")

np.savez_compressed("rawimg.npz", rawimg) # Reload with np.load("rawimg.npz")

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