• Potharlanka Laharika
• T. Niharika
• Sk. Md. Saad
• Md. Irfan
• Mrs. S. Naga Sindhu

Even in the pandemic situations, online shopping has become the most appropriate manner for people to buy various products, particularly clothing. However, the main disadvantage of buying clothes online is that we have the benefit of doubt about whether it will be the right choice for our individual personalities based on a variety of factors (i.e., height, colour etc.). To address this issue, we allow buyers to directly inspect the outfit and select their preferred apparel. Posture estimation is a computer vision task that detects an individual's pose, which is defined as the orientation and position of the individual. It operates by detecting a number of keypoints, allowing us to understand the individual's primary components and estimate its present orientation. We will be able to build the shape of the object in 2D based on such keypoints, and it estimates the human position in isolated RGB photos using the pre-trained Tensorflow PoseNet model. The model estimates the position of 17 key points on the human body, such as the elbow, right and left shoulders, left and right hips, and other body parts. We can outline the outfits using this model and the posenet keypoints mappings.

Posture estimation, Keypoints, TensorFlow, PoseNet model, Outlining Outfit.

"Outlining Of Clothes Using Posenet Points", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b88-b92, July-2021, Available :http://www.jetir.org/papers/JETIR2107140.pdf

"Outlining Of Clothes Using Posenet Points", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb88-b92, July-2021, Available at : http://www.jetir.org/papers/JETIR2107140.pdf