光流评估数据集隐藏的地面实况流(Optical Flow Evaluation DatasetsWith hidden groundtruth flow).pdf

光流评估数据集隐藏的地面实况流(Optical Flow Evaluation DatasetsWith hidden groundtruth flow).pdf

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光流评估数据集隐藏的地面实况流(Optical Flow Evaluation DatasetsWith hidden groundtruth flow)

光流评估数据集-隐藏的地面实况流(Optical Flow Evaluation Datasets-With hidden ground-truth flow) 数据介绍: Evaluation Datasets With hidden ground-truth flow 关键词: 光流,评估,隐藏的,地面实况, optical flow,evaluation,hidden,ground-truth, 数据格式: IMAGE 数据详细介绍: Optical Flow Evaluation Datasets -With hidden ground-truth flow Download: Color Gray All frames (usually 8) eval-color-allframes.zip (31MB) eval-gray-allframes.zip (12MB) Two frames only eval-color-twoframes.zip (8MB) eval-gray-twoframes.zip (3MB) Instructions for participating in the evaluation can be found on the Submit page. If you want to have your method evaluated, heres what to do: 1. Go to the Datasets page and download one of the evaluation datasets. Use the color versions if your method can handle color, and use the multi-frame versions if your method can handle more than 2 frames. 2. Adapt your flow algorithm so that it saves the resulting flow vectors using our .flo format. Information and C++ code is in flow-code.zip, which contains the file README.txt. A Matlab version is available in flow-code-matlab.zip. 3. Run your flow algorithm on each of the 12 sequences. Use constant parameters across all sequences. Use frame10.png as reference frame and compute the flow to frame11.png. Save the resulting flow as flow10.flo in each of the sequence directories. Also please keep track of the running time on the Urban dataset. 4. Create a zip file with all of the .flo files from within the parent directory of all the sequence directories. Use your last name as the file name. For example: zip smith.zip */flow10.flo. 5. When youre ready to submit, go to the upload page. Be prepared to answer the following questions when submitting your results: 1. Which version of the data did you use (# of frames, gray or

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