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MSE-CNN Implementation 1
Code database with the implementation of MSE-CNN, from the paper 'DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC'
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Public Member Functions | |
| __init__ (self, img, size) | |
| read_raw (self, frame_num=None) | |
| read (self) | |
Public Attributes | |
| height | |
| width | |
| y_len | |
| frame_len | |
| f | |
| shape | |
Object to contain the YUV files
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.__init__ | ( | self, | |
| img, | |||
| size | |||
| ) |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.read | ( | self | ) |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.read_raw | ( | self, | |
frame_num = None |
|||
| ) |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.f |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.frame_len |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.height |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.shape |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.width |
| msecnn_raulkviana.dataset_utils.VideoCaptureYUV.y_len |