This article introduces the ModelScope Python library, explains its support for PyTorch and TensorFlow, and provides step‑by‑step code examples for loading models, running inference pipelines on text and images, handling batch inputs, and customizing preprocessors in both Python and PHP.
This article presents a Python implementation that leverages deep learning models such as MobileNetV2 and ResNet to replace image backgrounds, detailing project structure, required dependencies, dataset preparation, core code for homographic alignment, model definition, and usage instructions for processing single images with custom backgrounds.
The article presents Semantic Image Matting, a novel approach that incorporates 20 semantic Alpha pattern categories into the matting pipeline via semantic Trimap, region‑based classifiers, multi‑class discriminators, and learnable gradient loss, achieving state‑of‑the‑art results on multiple benchmarks.
This article introduces Alibaba’s intelligent matting editor and its Semantic Human Matting (SHM) algorithm, detailing the integration of semantic segmentation and deep matting networks, the fusion module, training strategy, experimental results, and the deployment of an online fully‑automatic cutout tool for designers.
