Porting deep learning models on embedded platforms
Client was looking to develop an advanced video surveillance solution using deep learning models. The identified model for object detection, classification and localization was implemented using TensorFlow framework. However, the target platform selected supported CNN model implementations based on Caffe framework only. PathPartner transformed the solution across frameworks and optimized the same for target platform.
Download case study now to learn about topics such as :
– Challenges in porting deep learning models across embedded platforms
– PathPartner solution to address these challenges
– How PathPartner delivered an implementation accuracy of 99%