meisa233

library configuration mismatch

FULL OUTPUT

ffmpeg version 5.0.1 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)
  configuration: --prefix=/home/sdtv/ffmpeg_build --pkg-config-flags=--static --extra-cflags='-I/home/sdtv/ffmpeg_build/include -I/usr/local/cuda/include' --extra-ldflags='-L/home/sdtv/ffmpeg_build/lib -L/usr/local/cuda/lib64' --extra-libs='-lpthread -lm' --ld=g++ --bindir=/home/sdtv/bin --enable-gpl --enable-gnutls --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libsvtav1 --enable-libdav1d --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-cuda-nvcc --enable-libnpp --enable-nonfree --enable-pic --enable-shared
  WARNING: library configuration mismatch
  avutil      configuration: --prefix=/home/sdtv/ffmpeg_build --pkg-config-flags=--static --extra-cflags=-I/home/sdtv/ffmpeg_build/include --extra-ldflags=-L/home/sdtv/ffmpeg_build/lib --extra-libs='-lpthr

meisa233

在聚焦里把扫描移动硬盘关了

meisa233

如何编译支持ffmpeg和自编译的python的OpenCV

从源编译Python3

1.更新apt

建议换成国内源

sudo apt update
sudo apt upgrade

安装依赖

meisa233

# install avid link
# install avid composer from website

meisa233

cd /Library/Audio/Plug-Ins/
find . -name "*.bundle" -execdir sudo xattr -cr {} \;
find . -name "*.VST" -execdir sudo xattr -cr {} \;
find . -name "*.vst3" -execdir sudo xattr -cr {} \;
find . -name "*.component" -execdir sudo xattr -cr {} \;
find . -name "*.dpm" -execdir sudo xattr -cr {} \;

find . -name "*.bundle" -execdir sudo codesign -f -s - {} \;
find . -name "*.VST" -execdir sudo codesign -f -s - {} \;

meisa233

Widely Applicable Strong Baseline for Sports Ball Detection and Tracking

用于运动球检测和追踪的广泛应用的强基线（模型？）

高分辨率特征提取模型

A series of HRNet

a stem block and multi-stage high-resolution modules(HRMs) Figure 3 中

在这张图中，“ablation result” 指的是消融实验的结果。消融实验是一种机器学习和深度学习中的常用技术，旨在评估特定模型组件或策略对整体性能的影响。具体来说，消融实验会通过逐步去除或修改模型的一部分，观察其对性能指标（如精度、速度等）的影响，从而确定这些部分对最终结果的重要性。

meisa233

1. Download Models

(1) pretrained diffusion denoising U-net and video variational autoencoder
https://connectpolyu-my.sharepoint.com/:f:/g/personal/19046191r_connect_polyu_hk/EvI_j1SUiVFBlwEy4i62ckgB1XEHeqfFcJS4Ho6JQrTAWA?e=rDT4M4
or
https://pan.baidu.com/s/1xQF996RsxnmN-60ZLB6Vig?pwd=gh4i

downloaded files:
mgldvsr_unet.ckpt
video_vae_cfw.ckpt

meisa233

export HOMEBREW_NO_INSTALL_FROM_API=1

meisa233

Traceback (most recent call last):
  File "/home/wlbtest/miniconda3/envs/audiosr/bin/audiosr", line 3, in <module>
    import torch
  File "/home/wlbtest/miniconda3/envs/audiosr/lib/python3.9/site-packages/torch/__init__.py", line 290, in <module>
    from torch._C import *  # noqa: F403
ImportError: /home/wlbtest/miniconda3/envs/audiosr/lib/python3.9/site-packages/torch/lib/../../nvidia/cusparse/lib/libcusparse.so.12: undefined symbol: __nvJitLinkAddData_12_1, version libnvJitLink.so.12

export LD_LIBRARY_PATH=/home/wlbtest/Retrieval-based-Voice-Conversion-WebUI/venv/lib/python3.8/site-packages/nvidia/nvjitlink/lib:$LD_LIBRARY_PATH

meisa233

||lisestella.digital/*
lisestella.digital##.popup
lisestella.digital##.modal
czmanga.com##.popup