Open Zha-Miku opened 2 weeks ago
Probably built without the EXE
without errors
0: 384x640 1 person, 118.0ms
Speed: 3.0ms preprocess, 118.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)
C:\Users\20116\anaconda3\envs\yolov10\lib\site-packages\gradio\components\video.py:297: UserWarning: Video does not have browser-compatible container or codec. Converting to mp4
warnings.warn(
why built without *\yolov10\Library\bin\ffprobe.exe ?
Completely in accordance with the requirements of the configuration of the environment, reasoning when using each model picture is normal, but when change to the video has the errors
Settin Details
![image](https://github.com/THU-MIG/yolov10/assets/54501325/e5a12953-6929-4a9e-ae12-8d1fe0dd480d)
Src Details
(base) PS C:\Users\20116\Videos\Game.exe> ffmpeg -i .\1_60-.mp4 ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers built with gcc 9.2.1 (GCC) 20200122 configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt libavutil 56. 31.100 / 56. 31.100 libavcodec 58. 54.100 / 58. 54.100 libavformat 58. 29.100 / 58. 29.100 libavdevice 58. 8.100 / 58. 8.100 libavfilter 7. 57.100 / 7. 57.100 libswscale 5. 5.100 / 5. 5.100 libswresample 3. 5.100 / 3. 5.100 libpostproc 55. 5.100 / 55. 5.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '.\1_60-.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 date : 2024 encoder : Lavf58.29.100 Duration: 00:00:10.13, start: 0.020000, bitrate: 9322 kb/s Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, smpte170m), 1920x1080 [SAR 1:1 DAR 16:9], 9479 kb/s, 59.80 fps, 60 tbr, 90k tbn, 120 tbc (default) Metadata: handler_name : VideoHandle Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 195 kb/s (default) Metadata: handler_name : SoundHandle At least one output file must be specified (base) PS C:\Users\20116\Videos\Game.exe>
My Env Details
(yolov10) PS E:\Prjs\AI\Yolo_v10> python C:\Users\20116\anaconda3\envs\yolov10\Lib\site-packages\torch\utils\collect_env.py Collecting environment information... PyTorch version: 2.0.1+cpu Is debug build: False CUDA used to build PyTorch: Could not collect ROCM used to build PyTorch: N/A OS: Microsoft Windows 11 家庭中文版 GCC version: (x86_64-win32-sjlj-rev0, Built by MinGW-W64 project) 8.1.0 Clang version: Could not collect CMake version: Could not collect Libc version: N/A Python version: 3.9.19 (main, May 6 2024, 20:12:36) [MSC v.1916 64 bit (AMD64)] (64-bit runtime) Python platform: Windows-10-10.0.22000-SP0 Is CUDA available: False CUDA runtime version: 11.7.64 CUDA_MODULE_LOADING set to: N/A GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3050 Laptop GPU Nvidia driver version: 537.58 cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudnn_ops_train64_8.dll HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture=9 CurrentClockSpeed=2700 DeviceID=CPU0 Family=198 L2CacheSize=10240 L2CacheSpeed= Manufacturer=GenuineIntel MaxClockSpeed=2700 Name=12th Gen Intel(R) Core(TM) i7-12700H ProcessorType=3 Revision= Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] torch==2.0.1 [pip3] torchvision==0.15.2 [conda] numpy 1.26.4 pypi_0 pypi [conda] torch 2.0.1 pypi_0 pypi [conda] torchvision 0.15.2 pypi_0 pypi