We need a python program (based on opencv) which can analyze webcam images (which usually contains many people and faces in room conversation) in real time and report the following information: 1. Number of people in the scene (some people do not show faces) 2. Number of faces in the scene 3. The estimated gender, age, emotion of each face 4. The duration of a face (e.g. 5s) 5. Recognize a previous face (the program needs to save cropped, unique faces in a local folder in real time, and use them to recognize faces later time)
I need someone with availability right now, to help me sort out some image recognition matches with a template with transparency in java using openCS. - Java only. - I have all the software installed, just need to correct algorithms. - Ready to start working with you.
Hi everyone, I am wanting to put together a prototype for processing images/video of the inside of a pipe (actually, many pipes!!) and classifying the images based on specific defects (e.g. cracking, breaks etc.). Essential: - Good communication in English (frequent and honest) - Experience using OpenCV In your proposal please indicate: - A short bio (nothing too long, just so I know you are a real person, not a robot!) - Your experience with OpenCV (including any openly accessible work samples) - Anticipated milestones and timeframes If the prototype proves to be effective, there will be paid follow-on work. I am also happy to hear of different ways of achieving the above project scope if you think there is a better way... If you feel like you are able to undertake the work and are a genuine person, I would really like to hear from you!
Hello Guys, I'm looking a solution which could convert image file into CSV file. Please find the attached same image with this job. First three column would be computer printer and last column is in handwritten We need process this image file and generate CSV file which consist all four column as defined in image. Image need to process through python language.
-----Please read description carefully----- I'm looking for someone who can develop mobile app. This app will recognize size of clothes via camera. I attached screenshot of measurements so using camera, we need to get those values. Please bid with sample. I will work someone who has sample or demo app.
The objective of this project is to develop an application that used hand gestures as input, and convert the gestures into voice. This application can be used by a person with physical disability to communicate with others, who are at a different location/room. A disabled person can request or asking for help by performing a specific hand gesture in front of Kinect. This project needs a Kinect camera as input sensor to capture the hand gestures. Hand gesture can be developed by using Microsoft Visual Studio C++ software with OpenCV/NiTE/OpenNI libraries.
1) Receive H264 and MJPEG video streaming at full HD 1080p and 30fps from a linux device, using both netcat protocol and gstreamer. Ref: [url removed, login to view] [url removed, login to view] 2) Decode H264/MJPEG stream H264/MJPEG stream must be decoded by Android Media Codec. 3) Adding to opencv Mat Decoded stream must be separated into indivisual frame (yuv format) , which is converted to opencv:Mat Require: Android 7.0
Modification of an implementation of OpenCV's Canny & GrabCut on Android 1. My app currently provides two steps to remove the background from the foreground in an image file. The image file is portrait photo. The first step is to do the remove process by implementing Canny & Grabcut automatically after capturing the photo or submitting the photo. If the quality of the output is not accepted, we will start the second step. The second step is to ask the client to make a line on the photo to indicate the edge of the portrait and then App will start remove. The first step and the second step so far are not to work out the acceptable results for most images files. They leave jagged pixelated edges around the extracted foreground. My prefer result is that the edge of the foreground is more natural and not overlaid by the background obvirously. The final image file is used an ID photo . We need to identify and control the parameters of Canny & Grabcut that are causing this. 2. My app was built for Android of unspecified models and manufacturers. My requests are: - Can provide a total solution OR; - Provide me the assistances or tools to complete the project.
Need to develop my Project from Scratch for client (desktop), server (web), mobile based 1) CCTV Camera Live Streaming Single/ Multiple Face Recognisation and maintain Attendence. 2) live Attendence and Emotion captured & displayed on Led tv 3) This Face application need to connect with other appliction to send & recive data 4) some of things need to dispaly on mobile 5) Per second need to compare 1 millon faces or more.. it should be very very fast 6) user managment
1. windows platform to call the network camera, to achieve real-time face effect, the effect of reference accessories video, must have facial deformation, must be getting older, smaller effect 2. camera acquisition needs super clear and flip, 1080*1920 3. development time is 7 days 4., you need to deliver the source code and guide how to use it Please check attached video.
Do you have experience in Deep Learning such as CNN and RNN used in image classification and NLP? I prefer if you know computer vision skills. You should complete the job by September 9. Thanks.