1/6/2024 0 Comments Snow leopard camouflageHe is currently compiling a book about the Ladakh and Spiti valleys of Himalayas, and the animal is an important part of the peaks. Huawei and Shanshui developed a single inference display page and a batch inference tool based on the YOLOv3 target detection model of the MindSpore framework to process an initial batch of 280,000 infrared photos. The snow leopard is of special significance to Desai. It is desgined to build a new AI programming paradigm that allows developers to create better, efficient, and flexible AI software and hardware applications. MindSpore is a revolutionary AI framework for device, edge, and cloud scenarios. Huawei applied the full-scenario AI framework MindSpore to process infrared camera footage, the first time that an open source model based on a AI framework has been used in this way. It is planned to use this information to compile databases for research and develop more effective conservation strategies. Nevertheless, when combined with sufficient computing power, data on this scale provides a treasure trove of training material for deep learning. Processing 500,000 photos per year manually takes about 300 hours. ![]() When viewing the data, researchers also had to identify specific cats manually – an extremely tough challenge given the massive amounts of image data collected year-round and the fact that snow leopards tend to roam at night or at dawn, adding to the natural camouflage that sees them blend them in with the rocky terrain. This is complicated by the fact that snow leopards thrive in harsh terrain that is hard to access or connect with communications technologies, making the whole process time-consuming and labor-intensive. ![]() Field work conducted by researchers from Shanshui Nature Conservation CenterĬonservationists or local herders needed to travel to the actual camera sites, retrieve memory cards, and import the images into a device for processing and analysis.
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