professionalsfere.blogg.se

Jupyter notebook online google
Jupyter notebook online google










jupyter notebook online google

Ln: failed to create symbolic link '/content/gdrive/My Drive/Colab Notebooks/OpenPose/openpose/build/caffe/src/openpose_lib-build/examples/cpp_classification/classification.bin': Operation not supportedĮxamples/CMakeFiles/classification.dir/build.make:119: recipe for target 'examples/cpp_classification/classification' failed Linking CXX executable cpp_classification/classification I tried to build it on a folder in my drive but this error occurs:

Jupyter notebook online google install#

Great job, it really helped me :)īut unfortunately, every time when I have to use it, I have to install and build OpenPose so I start wondering if there is a way to save the installation. Hi! I was trying to use your colab notebook for Pose Detection with OpenPose.

  • Background Matting: The World is Your Green Screen senguptaumd/Background-Matting.
  • Official notebook of 3D Photography using Context-aware Layered Depth Inpainting vt-vl-lab/3d-photo-inpainting.
  • First Order Motion Model for Image Animation AliaksandrSiarohin/first-order-model.
  • Image Super Resolution idealo/image-super-resolution.
  • Music Source Separation sigsep/open-unmix-pytorch.
  • Slow motion using avinashpaliwal/Super-SloMo on Youtube videos.
  • PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models.
  • Generates a talking face video from an image and an audio using Rudrabha/LipGAN.
  • DeOldify: A Deep Learning based project for colorizing and restoring old images.
  • BigGAN Large Scale GAN Training for High Fidelity Natural Image Synthesis.
  • jupyter notebook online google

  • Scene text detection using CRAFT-pytorch.
  • HRNet using lxy5513/hrnet on Youtube videos.
  • Pedestrian tracking using ZQPei/deep_sort_pytorch (DeepSORT + YOLOv3).
  • Real-time instance segmentation with YOLACT on Youtube videos.
  • Real-time semantic segmentation with LightNet++ on Youtube videos.
  • Fast tracking and segmentation with SiamMask on Youtube videos.
  • Semantic segmentation trained on ADE20K using CSAILVision/semantic-segmentation-pytorch.
  • Official DE⫶TR demo notebook facebookresearch/detr.
  • works only on a Kitti image because of camera parameters.
  • CenterNet (Objects as Points) 3D car detection demo using xingyizhou/CenterNet.
  • CenterNet (Objects as Points) demo using xingyizhou/CenterNet.
  • Official Mask RCNN demo from Detectron2.
  • Mask RCNN demo using matterport/Mask_RCNN.
  • Object detection on Youtube videos using amdegroot/ssd.pytorch (SSD300).
  • YOLO demo using ayooshkathuria/pytorch-yolo-v3.
  • Cascade RCNN demo using open-mmlab/mmdetection.
  • Tensorflow object detection: FasterRCNN+InceptionResNet and ssd+mobilenet.
  • English/German/Spain speech recognition with snakers4/silero-models.
  • Official ESPnet Spanish->English speech translation notebook.
  • QuartzNet from NVIDIA/Nemo without LM with microphone.
  • QuartzNet from NVIDIA/Nemo without LM on Youtube videos.
  • Jasper from NVIDIA/OpenSeq2Seq without LM on Youtube videos.
  • Wav2Letter+ from NVIDIA/OpenSeq2Seq without LM on Youtube videos.
  • mozilla/DeepSpeech with LM on Youtube videos.
  • Official ForwardTacotron LJSpeech TTS notebook.
  • jupyter notebook online google

    Official ESPnet English/Chinese/Japanese TTS notebook.Voice clone demo using CorentinJ/Real-Time-Voice-Cloning.

    jupyter notebook online google

  • An English female voice ( LJSpeech) demo using mozilla/TTS (Tacotron + WaveRNN).
  • An English female voice ( LJSpeech) demo using fatchord/WaveRNN (Tacotron + WaveRNN).
  • An English female voice ( LJSpeech) demo using tugstugi/pytorch-dc-tts with the Griffin-Lim algorithm.
  • A Mongolian male voice demo using Rayhane-mamah/Tacotron-2 with the Griffin-Lim algorithm.
  • An English female voice ( LJSpeech) demo using Rayhane-mamah/Tacotron-2 and r9y9/wavenet_vocoder.
  • LibriTTS trained multi speaker TTS demo using NVIDIA/flowtron.
  • An English female voice ( LJSpeech) demo using NVIDIA/tacotron2 and NVIDIA/waveglow.
  • Try out deep learning models online on Colab with a single click.












    Jupyter notebook online google