var session = new InferenceSession("path_to_codeformer_model.onnx"); 2. 预处理图像 在进行面部修复之前,需要将输入图像预处理为模型所需的格式。这包括调整图像大小、归一化等操作。 // 假设image是加载的Bitmap对象 var imageData = ImageUtils.ConvertBitmapToTensor(
# 如果需要人脸或者背景超分,CodeFormer默认使用RealESRGAN进行上采样 def set_realesrgan(): from basicsr.archs.rrdbnet_arch import RRDBNet from basicsr.utils.realesrgan_utils import RealESRGANer model = RRDBNet( num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale...
AI代码解释 frombasicsr.archs.rrdbnet_archimportRRDBNetfrombasicsr.utils.realesrgan_utilsimportRealESRGANer# set enhancer with RealESRGANdefset_realesrgan():model=RRDBNet(num_in_ch=3,num_out_ch=3,num_feat=64,num_block=23,num_grow_ch=32,scale=2)upsampler=RealESRGANer(model_path="CodeFormer/...
【试用教程】基于Wav2Lip+TPS-Motion-Model+CodeFormer技术实现动漫风数字人 1点击下方卡片开通资源(若已开通请跳过此步骤) 交互式建模 PAI-DSW 5000CU*H 3个月 试用必读 立即试用 2点击“进入实操”开始操作 进入实操 我已阅读并同意《阿里云云起实践平台服务协议》 ...
CodeFormer::CodeFormer(std::string model_path) { //OrtStatus* status = OrtSessionOptionsAppendExecutionProvider_CUDA(sessionOptions, 0); ///nvidia-cuda加速 sessionOptions.SetGraphOptimizationLevel(ORT_ENABLE_BASIC); std::wstring widestr = std::wstring(model_path.begin(), model_path.end()); ...
In this step, we import thereplicatelibrary and call therunfunction to execute the CodeFormer model with the provided input image. The output will be printed as a URI string representing the fixed image. Here's the output image I got from this process, shown against the hideous input I sta...
to model global composition and context of the low-quality faces for code prediction, enabling the discovery of natural faces that closely approximate the target faces even when the inputs are severely degraded. To enhance the adaptiveness for different degradation, we also propose a controllable fea...
codeformer.load_model() # 读取图片 input_image = torch.from_numpy(imread('path/to/your/image.jpg')).unsqueeze(0) # 进行图像修复 restored_image = codeformer.inference(input_image) # 将修复后的图像转换为PIL格式并保存 restored_pil_image = to_pil_image(restored_image[0].cpu()) ...
The Codeformer model is trained on a large dataset of face images, and it can be used to restore both old photos and AI-generated faces. It is a robust model that is able to handle a wide r 分享11 codeformer吧 CodeFormer Codeformer修复图像想要使用GPU进行加速?那你必须事先了解CUDA这一期...
CodeFormer 旨在提升图片中人脸的质量,同时保留其原始特征。它擅长修复模糊、低质量的脸部,从而生成更清晰、更生动的图片。 - Pasenger/CodeFormer