2019-12-30 13:47:53 -0600 | received badge | ● Supporter (source) |
2019-12-30 13:47:26 -0600 | commented answer | How to use cudacodec + blobFromImage @cudawarped, @Yashas Thank you for your responses! I appreciate it! @Yashas, is realization of GpuMat support in plans f |
2019-12-30 07:24:10 -0600 | received badge | ● Student (source) |
2019-12-30 07:19:52 -0600 | received badge | ● Editor (source) |
2019-12-30 07:19:52 -0600 | edited question | How to use cudacodec + blobFromImage How to use cudacodec + blobFromImage The problem is that i can't transfer my frame from cv2.cudastream directly to cv2.b |
2019-12-30 06:55:41 -0600 | commented answer | How to use cudacodec + blobFromImage So there is no way to use cv2.dnn with GpuMat type? cv2.DNN_BACKEND_CUDA is only one possible way to use GPU computatio |
2019-12-30 06:48:13 -0600 | commented answer | How to use cudacodec + blobFromImage Actually, it doesn't solve the main problem. It still can work with blob = cv2.dnn.blobFromImage(frame, 1 / 255.0, (41 |
2019-12-30 06:48:05 -0600 | commented answer | How to use cudacodec + blobFromImage Actually, it doesn't solve the main problem. It still can work with blob = cv2.dnn.blobFromImage(frame, 1 / 255.0, (41 |
2019-12-30 06:47:25 -0600 | commented answer | How to use cudacodec + blobFromImage Actually, it doesn't solve the main problem. It still can work with blob = cv2.dnn.blobFromImage(frame, 1 / 255.0, (41 |
2019-12-30 05:33:58 -0600 | asked a question | How to use cudacodec + blobFromImage How to use cudacodec + blobFromImage The problem is that i can't transfer my frame from cv2.cudastream directly to cv2.b |
2019-12-30 05:29:26 -0600 | received badge | ● Organizer (source) |