大家在使用stable diffusion webui,通过img2img做Inpaint局部绘制,包括Inpaint、Inpaint sketch、Inpaint upload,会听到很多与蒙版mask相关专业术语。我将会写一系列文档来说明白各个专业术语对应参数的作用。 测试环境为: 腾讯云CVM:GPU推理型GI3X | GI3X.8XLARGE64 | 32核 64GB 配置 1 颗 NVIDIA T4 操作系统:CentO...
语义分割预测通过Mask2formerPredictor预测图像语义分割图import cv2 from easycv.predictors.segmentation import Mask2formerPredictor predictor = Mask2formerPredictor(model_path='mask2former_semantic_export.pth',task_mode='semantic') img = cv2.imread('000000123213.jpg') predict_out = predictor(['000000123213...
from segment_anything import sam_model_registry, SamPredictor sam_checkpoint = "./models/sam_vit_b_01ec64.pth" model_type = "vit_b" device = "cpu" sam = sam_model_registry[model_type](checkpoint=sam_checkpoint) sam.to(device=device) predictor = SamPredictor(sam) predictor.set_image(im...
roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes) 2. 替换模型的骨干网络 场景:替换掉模型的骨干网络。举例来说,默认的骨干网络(ResNet-50)对于某些应用来说可能参数过多不易部署,可以考虑将其替换成更轻量的网络(如MobileNet)。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ...
An embodiment of mask quality predication technology may include a memory to store a set of input images and a reference mask image associated with each input image of the set of input images, a processor communicatively coupled to the memory, and logic communicatively coupled to the processor ...
masks, scores, logits = predictor.predict(point_coords=input_point,point_labels=input_label,multimask_output=True,)for i, (mask, score) in enumerate(zip(masks, scores)):plt.figure(figsize=(10,10))plt.imshow(image)show_mask(mask, plt.gca())show_points(input_point, input_label, plt.gca...
predictor = Mask2formerPredictor(model_path='mask2former_instance_export.pth',task_mode='instance') img = cv2.imread('000000123213.jpg') predict_out = predictor(['000000123213.jpg']) instance_img = predictor.show_instance(img, **predict_out[0]) ...
如果mask_predictor没有传入(类初始化为空),则通过MaskRCNNPredictor方法构建一个mask_predictor,这里的mask_predictor_in_channels就是mask_head中输出的256通道数的特征矩阵,mask_dim_reduced是通过转置卷积将通道数调整为256,num_classes是分类类别个数。(2.3节)。 之后将参数传给父类FasterRCNN中,就会自动构建好...
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor from torchvision.models.detection.mask_rcnn import MaskRCNNPredictor 步骤2. 设置种子 设置种子将确保我们每次运行代码时都会获得相同的随机生成。 seed = 42 np.random.seed(seed) ...
Learning Flow Fields in Attention for Controllable Person Image Generation - Leffa/leffa_utils/garment_agnostic_mask_predictor.py at main · franciszzj/Leffa