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@@ -98,7 +98,7 @@
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},
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{
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"cell_type": "code",
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- "execution_count": 16,
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+ "execution_count": 56,
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"id": "84aa04a6-f0b6-4285-b479-99f6454ccd5b",
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"metadata": {},
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"outputs": [
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@@ -120,10 +120,10 @@
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{
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"data": {
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"text/plain": [
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- "<matplotlib.image.AxesImage at 0x1a59a69c700>"
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+ "<matplotlib.image.AxesImage at 0x1a599048be0>"
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]
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},
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- "execution_count": 16,
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+ "execution_count": 56,
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"metadata": {},
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"output_type": "execute_result"
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},
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@@ -143,19 +143,19 @@
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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- "#读取图像\n",
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+ "# 读取图像\n",
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"img = cv2.imread(\"gpu.bmp\")\n",
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- "img_T = img.T #图像的转置\n",
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+ "img_T = img.T # 图像的转置\n",
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"\n",
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- "print(img_T.shape) # (H,W,c)\n",
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+ "print(img_T.shape) # （H,W,C）\n",
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"print(img.shape)\n",
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"\n",
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- "# 图像的像素类型\n",
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+ "# 图像的像素类型做转变：uint8 -> float\n",
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"img_type = img.astype(np.float)\n",
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"\n",
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"plt.imshow(img_type)\n",
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"\n",
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- "#如果图像是整数，其值：0-255，如果是浮点数，其值：0-1 （对小数越界，采用截断（clipping）的方式）"
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+ "# 如果图像是整数，其值：0-255，如果是浮点数，其值：0-1 （对小数越界，采用截断（clipping）的方式）"
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]
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},
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{
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@@ -353,22 +353,6 @@
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"new_img = new_img.astype(np.uint8)\n",
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"plt.imshow(new_img)"
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]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": null,
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- "id": "5ce6acbb-dea0-499d-8d56-42d3b54245d0",
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- "metadata": {},
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- "outputs": [],
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- "source": []
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- },
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- {
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- "cell_type": "code",
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- "execution_count": null,
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- "id": "84b42392-1409-4a1f-b936-810e8c5bd057",
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- "metadata": {},
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- "outputs": [],
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- "source": []
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}
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],
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"metadata": {
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