Computer Vision on NPU - all you need to know скачать в хорошем качестве

Computer Vision on NPU - all you need to know

00:00:00 - Intro. 00:00:35 - Difference between NPU, CPU, GPU 00:02:24 - Why NPU? Main advantages. 00:04:17 - NPU / LPU / TPU / VPU / DLA / BPU / DPU / IPU / VPU 00:05:40 - Main Vendors (Intel, Nvidia, Hailo, Axelera, Qualcomm, RockChip, etc) 00:07:36 - Frameworks: TF lite, ONNX Runtime, MNN, Tengin, SnapDragon, RKNN, HailoRT, etc. 00:10:08 - Export 00:13:49 - RockChip example 00:16:02 - Hailo example 00:18:05 - ESP32 example 00:18:55 - NMS problem? 00:20:52 - Memory size and structure 00:22:45 - Preprocessing 00:23:55 - Transformers 00:25:20 - Layers support 00:27:31 - Quantization 00:30:27 - Speed comparison 00:33:52 - Memory speed 00:36:42 - NPU and CPU 00:38:42 - C++ and Python 00:40:10 - Subscribe! My LinkedIn -   / maltsevanton   My Telegram channel - https://t.me/CVML_team e-mail: anton@rembrain.ai Twitter -   / serious_wk   Usefull videos: RockChip and how to run detection on it -    • Running YOLO (Yolov8, Yolov5, Yolov6, Yolo...   Milk-V and SOPHGO SG2002 -    • Milk-V DUO. Is it good for computer vision...   Hailo -    • Hailo-8: let's compare it with others boards   Jetson -    • Jetson Nano in 2022. Comparing with conten...   Maix-III -    • Review and comparison on Seeed Studio Sipe...   Raspberry Pi 5 -    • Raspberry Pi 5 for Image Recognition: dete...   Google Coral -    • Computer Vision on Google Coral in 2022, l...   Khadas Vim 3 (amlogic 311) -    • Khadas Vim 3 in 2022. How good it is for C...