apply(img, torchvision.transforms.RandomHorizontalFlip()) ``` :begin_tab:`mxnet` [**Flipping up and down**] is not as common as flipping left and right. But at least for this example image, flipping up and down does not hinder recognition. Next, we create a `RandomFlipTopBottom` insta...
@@ -190,7 +190,7 @@ torchvision.ops.roi_pool(X, rois, output_size=(2, 2), spatial_scale=0.1) To be more accurate in object detection, the fast R-CNN model usually has to generate usually has to generate a lot of region proposals in selective search. To reduce region proposals ...
# Install dependencies pip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html git clone https://github.com/openai/CLIP git clone https://github.com/crowsonkb/guided-diffusion pip install -e ./CLIP pip install ...
ImportError: cannot import name 'add_maskformer2_config' from 'maskdino' I followed this for setup - conda create --name maskdino python=3.8 -y conda activate maskdino conda install pytorch==1.9.0 torchvision==0.10.0 cudatoolkit=11.1 -c pytorch -c nvidia pip install -U opencv-python git...
import os import numpy as np import torch from PIL import Image import torch.nn as nn import torchvision from torchvision.models.detection.faster_rcnn import FastRCNNPredictor, AnchorGenerator from engine import train_one_epoch, evaluate import utils import transforms as T from torchvision.datasets ...
"Requirements for the tvmc command-line tool", [ "future", # Hidden dependency of torch. "onnx", "onnxruntime", "tensorflow", "tflite", "torch", "torchvision", "xgboost", ], ), ), # XGBoost, useful for autotuning on some targets. ( "xgboost", ( "Requirements for XGBoost autot...