打开终端,进入虚拟环境,输入命令: python demo/demo.py --config-file configs/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x.yaml --input images/1.jpg --output results --opts MODEL.WEIGHTS pre_train_model/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x/139514519/model_final_cafdb1.pkl MODEL.DEV...
defget_augs():x,_=next(iter(data.aug_dl))returndata.trn_ds.denorm(x)[1]aug_tfms=[RandomRotate(20),RandomLighting(0.8,0.8)]tfms=tfms_from_model(arch,sz,aug_tfms=aug_tfms,max_zoom=1.2)data=ImageClassifierData.from_paths(path,tfms=tfms,test_name='test')ims=np.stack([get_augs()for...
0)obb = chair.get_oriented_bounding_box()obb.color = (0, 1, 0)o3d.visualization.draw_geometries([chair, aabb, obb], zoom=0.7, front=[0.5439, -0.2333, -0.8060], lookat=[2.4615, 2.1331, 1.338], up=[-0.1781, -0.9708, 0.1608]) ...
```python import torch import torchvision import torch.nn as nn # import torchvision.models vgg_model_pretrained = torchvision.models.vgg16(pretrained=True, progress=True) vgg_model_original = torchvision.models.vgg16(pretrained=False, progress=True) print(vgg_model_original) print(vgg_model_...
[:, :, 2]) # 进入图像第一个通道# cv.imshow("GRAY_3", src[:, :, :]) # 获取图像三个通道cv.imshow("zoom out", dst)# zoom in放大,zoom out缩小box = [50,50,100,100]# x, y, w, hroi = src[200:400,200:400, :]# 截取目标区域 src[y1:y2, x1:x2, :] 灰度图则不需要...
from model import * from util import dataset from util import transform, config from util.util import AverageMeter, poly_learning_rate, intersectionAndUnionGPU cv2.ocl.setUseOpenCL(False) cv2.setNumThreads(0) def get_parser(): parser = argparse.ArgumentParser(description='PyTorch Semanti...
1 - zoom_range, 1 + zoom_range] shift_range (float): the percent of translation for x and y random_flip (float): the probability of horizontal flip Returns: (np.array): transformed image """ h, w = image.shape[0:2] rotation = np.random.uniform(-rotation_ra...
model.set_regularizers(regularizers) 您也可以直接在一个torch.utils.data.DataLoader,也可以有一个验证集: fromtorchsampleimportTensorDatasetfromtorch.utils.dataimportDataLoader train_dataset = TensorDataset(x_train, y_train) train_loader = DataLoader(train_dataset, batch_size=32) ...
官网上的介绍(翻墙):The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. 翻译过来就是: torchvision包由流行的数据集、模型体系结构和通用的计算机视觉图像转换组成。简单地说就是常用数据集+常见模型+常见图像增强方法 ...
官网上的介绍(翻墙):The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. 翻译过来就是:torchvision包由流行的数据集、模型体系结构和通用的计算机视觉图像转换组成。简单地说就是常用数据集+常见模型+常见图像增强方法 ...