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'
|
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 |