By Kaushik Sripada /
September 26, 2019
‘What Women Want’ – Saree Buyology
We set out to understand ‘What Women Want’ while choosing a saree. This was to better understand the social, economical and cultural perceptions towards the sari today. And to try and give a solution to make the experience of buying that “One perfect saree” memorable and hassle free.
Read More By Harish /
September 16, 2019
Real Time Human Pose Estimation on the edge with Movidius NCS and OpenVINO
Pose estimation is a computer vision approach to detect various important parts of a human body in an image or video. It gives pixel locations of where eyes, elbows, arms, legs, etc are for one or more human bodies in an image. The algorithm gives locations of “joints” of a body.
Read More By Kaushik Sripada /
September 16, 2019
Pose Estimation Benchmarks on intelligent edge
This is a comparison of PoseNet’s performance across hardware, to help decide which hardware to use for a specific use case, if optimizations can help. It also gives a glimpse into hardware capabilities in the wild. The hardware included a range from baseline prototyping platforms to tailored for edge to production-grade CPUs.
Read More By Harish /
September 12, 2019
Why we chose Rust over Lua for our project?
Choosing a programming language(s) for a new product is an important strategic decision. It influences a lot of things and has long-term implications for hiring, culture and even the viability of a product.
Read More By Harish /
August 27, 2019
Car or Not a Car
Fine tuning has been shown to be very effective in certain types of neural net based tasks such as image classification. Depending upon the dataset used to train the original model, the fine-tuned model can achieve a higher degree of accuracy with comparatively less data. Therefore, we have chosen to fine tune ResNet50 pre-trained on the ImageNet dataset provided by Google.
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