no image
nvidia docker torch, trt runtime vs dev
nsight-compute folder 가 없노1GB차이cuda에서 차이가 많이나네 정적 파일 있고 없고가 그냥 가장 큰 차이인듯? ###################################################################### torch  한개는 usr가 꽉차있노,,어떻게 없을 수가 있지,,? 예?이거 그냥 nvidia 가 있고 없고의 차이인듯하다,,이미 컴파일 다돼서 그런갑다
2025.02.19
raw image viewer
https://rawtherapee.com/downloads/ Download it.Make it executable: chmod u+x RawTherapee_5.10.AppImageRun it: ./RawTherapee_5.10.AppImage
2025.01.11
no image
cuda-samples Freeimage.h issue
vcpkg 로 설치하려고 했는데,, 왜인지 모르게 자꾸 libtiff 관련 issue가 떴다..그래서 새로 설치하려고 https://www.google.com/search?q=freeimage+github&oq=Freeimage+github&gs_lcrp=EgZjaHJvbWUqBwgAEAAYgAQyBwgAEAAYgAQyCAgBEAAYFhgeMgYIAhBFGDwyBggDEEUYPDIGCAQQRRg80gEIMjMwMWowajeoAgCwAgA&sourceid=chrome&ie=UTF-8 🔎 freeimage github: Google 검색 www.google.com링크를 들어가 여러개 보니 웬걸,, lib가 여러개인거 아닌가,,그래서 제일 star가 많은 곳으로 들어가 설치를 해도 에러,,자꾸 의존성 iss..
2025.01.11
no image
용어집
2024.12.10
onxx export
import torchfrom mmpose.models.necks import ChannelMappermodel = ChannelMapper( in_channels=[256, 256], kernel_size=1, out_channels=384, act_cfg=None, norm_cfg=dict(type='BN'), num_outs=3)# Create dummy input tensor with appropriate shapeinputs = (torch.randn(1, 256, 32, 32), torch.randn(1, 256, 16, 16))dummy_input = (inputs,) # Wrap the inputs in an extra tuple# Test the mode..
2024.11.28
youtube downloader
https://github.com/yt-dlp/yt-dlp
2024.11.27
no image
tests 디렉토리 인식 안됨
그리고 매 폴더에 __init__.py가 있어야함
2024.11.26
no image
Archive
Pytorchhttps://pytorch.org/get-started/previous-versions/ Previous PyTorch VersionsInstalling previous versions of PyTorchpytorch.org mmcvhttps://mmcv.readthedocs.io/en/latest/get_started/installation.html TensorRThttps://developer.nvidia.com/tensorrt/download Log inLog in or sign up for an NVIDIA accountdeveloper.nvidia.com  nvidia docker containerhttps://catalog.ngc.nvidia.com/orgs/nvidia/cont..
2024.11.21
nvidia docker container does not have libs and includes
https://forums.developer.nvidia.com/t/tensorrt-include-and-lib-folder-on-drive-orin/282118Yes. The TRT libs can be found at /usr/lib/aarch64-linux-gnu. TRT headers are not part of target. The headers can be found at /usr/include/aarch64-linux-gnu . The missing header files need to be copy from docker.
2024.11.21