Development computer vision - facial landmark detection and measurement

Development computer vision - facial landmark detection and measurement Hello, I read your description and got what to do. I am looking forward to discussing more for your project. I am ready now, please message me to start your project. I have 7+ years of experience in this field I am proud of 100% 5 stars and 100% completion rate. https://www.freelancer.com/u/mingah429.html From YueXi

Development computer vision - facial landmark detection and measurement Dear sir I have completed projects similar to your requirement in the past. If you could share your project detail requirements, I will share relevant past work and demo. I already developed 100+ apps and websites for Android, IOS & Web sites as per the Google Store and iTunes, domain standards. Thank you and I look forward an opportunity to work with you. Regards MingFang

hi, interesting project, would love to help you. I am a Pro iOS & Android App developer here, I always strive to finish all my projects, also please check my latest reviews, portfolio on my profile page directly, Kind Regards, Iryna!

Hello, I have gone through the post and as you want facial landmark detection and measurement system i will work and deliver the job on time line. I can work on your project idea and move on step by step and achieve the project goal in short time frame. Awaiting for your positive feedback on my proposal. Best Regards, Invoke

Hi, As per your requirements, I will help you to extracts the standard and some non standard facial landmarks and calculates among the images. It will be helpful if you provide the complete dataset of images. I am expertise in modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods. Has strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting. I used libraries like- Pandas, Numpy, Sci-kit Learn, matplotlib. Here are the created one please have a look:- 1) Highway networks to get an intuition for how they work. Highway networks, inspired by LSTMs, are a method of constructing networks with hundreds, even thousands, of layers. 2) LSTMs for Human Activity Recognition Human activity recognition using smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories: WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING. 3) Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Prediction I did experiment with the seq2seq neural network architecture In this project are given 4 exercises of gradually increasing difficulty. I take for granted that the public already have at least knowledge of basic RNNs and how can they be shaped into an encoder and a decoder of the most simple form. Best Regards Yuvraj Kakkar