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总结流程 Python 示例 官方文档:https://docs.opencv.org/3.4/df/d6c/group__ximgproc__superpixel.html 语法: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 retval=cv2.ximgproc.createSuperpixelSLIC(image[,algorithm[,region_size[,ruler]]]) 其中各个参数意义如下: 示例代码 代码语言:javascript 代码...
highlighter- Python img = io.imread(r"Lenna.png") ours = slic(img, size=50, compactness=0.5) def mask2img(mask, img): new_img = img.astype(np.float) masks = np.unique(mask) for m in masks: x, y = np.where(mask == m) mcolor = new_img[x, y].mean(axis=0) new_img[x...
图像处理,超像素分割,python代码 上传者:qq_42568323时间:2023-05-31 基于熵率的超像素分割代码 基于熵率的超像素分割代码 上传者:qq_41808435时间:2018-11-13 SNIC超像素分割算法 超像素分割为图像分割,图像处理的基础,文件为MATLAB和C混编的代码,demo为主程序,运行demo主程序进行超像素分割。
Python implementation of the SNIC superpixels algorithm clusteringsuperpixelsnicpolygonization UpdatedMar 8, 2021 Python NeelBhowmik/efficient-compact-fire-detection-cnn Star56 Code Issues Pull requests Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - fr...
可以使用pip install opencv-contrib-python进行安装。 问题:图像分割效果不佳 解决方法:调整region_size和ruler参数,以及迭代次数,以获得更好的分割效果。同时,可以尝试不同的SLIC算法变体(如SLICO或MSLIC)。 问题:处理大图像时性能较差 解决方法:对于大图像,可以考虑使用更高效的算法或硬件加速技术,或者对图像进行...
python compute_ssn_spixels.py --datatype TEST --n_spixels 100 --num_steps 10 --caffemodel ./models/ssn_bsds_model.caffemodel --result_dir ./bsds_100/ You can change the number of superpixels by changing then_spixelsargument above, and you can update thedatatypetoTRAINorVALto compute ...
python run_infer_nyu.py --data_dir=<NYU_TEST> --output=<TEST_OUTPUT_DIR> --pretrained=<PATH_TO_THE_CKPT> To test on other datasets, please first collect all the images into one folder<CUSTOM_DIR>, and then convert them into the same format (e.g..pngor.jpg) if necessary, and ru...
Last commit date Latest commit Algy Update README.md Mar 9, 2020 e6f6b4f·Mar 9, 2020 History 303 Commits .idea cpuid fast_slic src test .gitignore CMakeLists.txt LICENSE MANIFEST.in Pipfile Pipfile.lock README.md cfast_slic.pxd ...