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...
```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_...
fromtorchsample.constraintsimportMaxNorm, NonNegfromtorchsample.regularizersimportL1Regularizer# hard constraint applied every 5 batcheshard_constraint = MaxNorm(value=2., frequency=5, unit='batch', module_filter='*fc*')# implicit constraint added as a penalty term to model losssoft_constraint = N...
model.add(Conv2D(32, (3, 3), input_shape=input_shape)) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(32, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(64, (3, 3))) mode...
(pcd)dists = pcd.compute_point_cloud_distance(chair)dists = np.asarray(dists)ind = np.where(dists > 0.01)[0]pcd_without_chair = pcd.select_by_index(ind)o3d.visualization.draw_geometries([pcd_without_chair], zoom=0.3412, front=[0.4257, -0.2125, -0.8795], lookat=[2.6172, 2.0475, ...
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 ...
zoom_x = 8.0 zoom_y = 8.0 trans = fitz.Matrix(zoom_x, zoom_y).preRotate(rotate) pm = page.getPixmap(matrix=tran... 来自:开发者社区 搭建SDXL-Turbo模型文生图推理 为PyTorch社区提供最新的Intel硬件和软件改进。更多信息,请参见IPEX。 SDXL-Turbo模型本实践使用的推理模型为SDXL-Turbo(Stable ...
[:, :, 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...
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...
4. Model Zoom 5. DNN概述 GitHub上的机器学习/深度学习综述项目合集 AlphaTree-graphic-deep-neural-network CNN 发展史 94页论文综述卷积神经网络:从基础技术到研究前景 图像分类 从LeNet-5到DenseNet 深度学习笔记(十一)网络 Inception, Xception, MobileNet, ShuffeNet, ResNeXt, SqueezeNet, EfficientNet, MixCon...