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    Its a long project. We have a hardware composed by onboard cameras installed in a truck, the cameras record 24/7, usually each truck has 4 cameras, a MDVR, a SSD card, gps and a antenna. Images from the truck may be send trough 3g/4g or when the truck comes inside the garage the files are send from the truck to the server trough the antenna. Now, the files may go to the auditors to check any inconsistence on a driver mode, or any parameter stabilished by the company owner of the truck. Each company may have 100 - 1000 trucks. Auditor may speed the image up tp 56 times and may, for instance, request a copy from the file of camera 3 of truck 12 from 08;00 to 9;00am of july 14th. Based on those informations I need to monitor and have reports from informations combined to improve the fleet mananegent Examples of reports (total of 15); 1 - Last time each truck came to the garage, last time downloaded the files, from when to when the data where downloaded, 2 - Inconsistences based on parameters checked by the auditors 3 - Cameras not working inside each truck 4 - I have a software working but I need I new one, the total size of the file , from each truck. with 4 cameras working 24/7 is is not bigger than 1gb each day. SOLUTIONS WITH SMALLER FILE (300-500mb a day) ITS OUR GOAL Summarizing what we need are two softwares 1 - A software buit-in the MDVR that may compress and send the images 2 - A admnistrative software that may recieve the files and work with the results. Specifications are much bigger. This is just an introduction. I need everything working and tested in 4 months. I need full commented and EXPLAINED source code Please, just send me proposals Teams with at least 5 workers, 20 rates and if you have experience with images compressing. We preffer teams that had previous and understand about fleet management

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    I am requiring a pseudo code and Algorithm created based on the Level set method for Image segmentation, on Matlab. This will also have comments explaining each step.

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    I would like a STEP-BY-STEP document explaining the FORMULATION of the Level set method and EXAMPLES of how it can be implemented in Image Segmentation. I am looking for a Mathematical approach with comments to explain each step. Thank you.

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    Windows -- 3 5 days left

    I need you to develop some software in Matlab regarding signal processing, I would like this software to be developed for Windows.

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    Project : Realtime Vehicle Speed Detection using Image Processing method. Specification : - Full programs with source code and ready for use with full GUI. - Software can calibation the road / detection lenght / camera frame rate / speed limit. - Beep / Little Sound when over speed limit detect. - Support Realtime with minimum 8 ONVIF IP camera. (RTSP Protocal and full hd) - Support IP CAMERA file format. (.264) - Take photo as full hd images for evidence (Wide Area, Car Zoom, License Plate) - Support up to 3 lanes per camera - Using only 1 Camera (with lenght calibation area) to detect the speed - Working with Windows Server 2012 - high performance work - very high accurate - Clean and regular GUI - No need to OCR License plate - C# , Mysql Based. - Will be real use in traffic law enforcement / ready to check with Government Department. Please read the requirement carefully before you bid this project. - Project source / guideline : [url removed, login to view] [url removed, login to view] Payment : Job done - > Send debug for check. - > Edit if something wrong - > Paid - > Send the source code. Period : Job must finished within 2 weeks.

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    Windows -- 2 4 days left

    I need someone good with signal processing and Matlab to do a project for me.

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    I am developing a software for medical applications. The software has a Qt GUI and can be run as an application in MacOSX (10.10, screen resolution 1440x900 px). The verification test protocol of the software is defined in an XML file, see attached. Write a command line tool for the MacOSX Terminal that - open the XML file - opens the software for medical applications - performs a test sequence for each <verification_testitem> in the XML file (here: test_no 0, then test_no 1), where the test sequence for test_no i is: - add a <test_report> entry to the verification_testitem in the XML file - load [url removed, login to view] from the current directory (not provided) - look for position of search image in the GUI - identify whether the search image matches the current screen of the GUI at any position - if there is a match, set <searchimage_found> to YES, else NO - if there is a match, store the coordinates of the first encountered search image position in the XML file as <searchimage_position> - else, exit with error message - generate a click on the position of the search image - load [url removed, login to view] from the current directory (not provided) - look for position of result image in the GUI - identify whether the result image matches the current screen of the GUI at any position - if there is a match, set <resultimage_found> to YES, elso NO - if there is a match, store the coordinates of the first encountered result image position in the XML file as <resultimage_position> - close the XML file Please demonstrate proper operation with a typical Mac application, e.g. Preview or Finder or Pages.

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    The main requirement of this project is to develop a system that can take a hand-written character as input and then detect, extract and recognize characters from digital images with the use of neural networks. The developed system should be able to properly extract the characters one by one. Therefore, the following processes need to be carried out to satisfy the development of the system. i. To design a software algorithm that can recognize input characters and display the corresponding output characters using MATLAB. ii. To detect, extract and recognize characters using Neural Network (NN) and finally display the corresponding output characters in the computer. iii. To study or analyze the performance of the neural network. iv. Compare the performance of the neural network used in this project with other algorithms

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    You will have 220° x 360° Fisheye Images (.jpg) as input. The project has three parts: 1) MATLAB Code that can map a 2D Fisheye Image (220° x 360°) into 3D Spherical Image. 2) MATLAB Code that can map the 3D Spherical Image obtained in the first part into a Cubemap Image using rectilinear projection. Each face of the 3D Cubical image will be 90° x 90° rectilinear projection of the 3D Spherical Image obtained in step 1. Note that the input images are not a complete Spherical image (360° x 360°), so the vision-less portion will be shown in black color on both 3D Spherical and Cubical images. The code must be well commented at every step and the programmer will be liable to optimize the code interactively, if required. The example of fisheye to cubemap conversion can be seen on this link: [url removed, login to view]

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    Optimize an image transform function that uses OpenCV. The objective is to reorganize the OpenCV code into a new function, and reduce the number of steps that this function does to achieve the Image Transform. PROJECT DESCRIPTION =================== I have an image processing C++ tool that uses OpenCV to transform images (translate, rotate and scale). This tool works correctly, but it's not efficient. My Image library defines the images from bottom left, so the first pixel (0, 0) is on the bottom-left corner of the image. +----------(m,n) | | | | (0,0)--------x The transform variables are also defined from bottom left so that they are consistent with the image coordinate space. To do the transformation with OpenCV the Transform function converts the images to OpenCV format, converts the transform matrix to OpenCV format, transforms the OpenCV image, converts the transformed OpenCV image back to my lib image, and finally trims all the transparent pixels out of the new image. SOURCE CODE =========== The source code is organized in a cross platform CMake project that can generate projects for any platform or compiler, but I have tested it only in Visual Studio 2015. The project has 3 libraries: Image ----- The image processing library. This library reads and writes images from disk (TGA) and does operations on the images (create, fill, blend). Images are in bottom left order, and have a position defined by two integers. All operations on the Image library understand and use this position. class Image This class that defines an image. The image pixels are in RGBA format, and each channel is represented by a floating point value. Images have 4 properties: Size in X, Size in Y, Color Mode (RGBA) which defines the Number of Channels (fixed to 4) and Position in X and Y. The pixel 0,0 is the bottom left pixel. Image* Transform The function that takes as input an image, applies a transformation (translation, rotation, scale), and returns a new image. The transform function knows that the images have a Position in X and Y, and transforms the position of the output image too. OpenCV ------ A snapshot of the OpenCV library. Test ---- An executable with multiple Test functions that read images from the test/input directory, apply some transformations and blends, and save new images to the test/output directory. This functions use a CRC32 algorithm on the output images to test if the generated images are correct. Build the Project ----------------- To generate the project for your IDE use CMake and generate the binaries to a different directory: Source code: E:/Temp/ImageProcessing/code Binaries: E:/Temp/ImageProcessing/vs2015_64b REQUIREMENTS ============ Optimize the Image* Transform function so that the OpenCV code is copied directly into the transform function, and there is no need to convert the image or matrixes to OpenCV format. This new function should create the output image only once and write to it the transformed pixel values from the in_image. Image* Transform(const Image* in_image, float translate_x, float translate_y, float rotate, float scale_x, float scale_y) { if (rotate != 0.0f || scale_x != 1.0f || scale_y != 1.0f) { // Compute the Position and Size of the out_image. // Transform the in_image and write the resulting pixels to the out_image. // Trim transparent borders on out_image. // Translate the position of the out_image } else { // Copy in_image to out_image // Translate the position of the out_image } } You can use the OpenCV code and reorganize it in a way that is compatible with the Image library. The new function should produce the same CRC32 hashes for the output images in the Test executable.

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    My project is about Image processing, need small modification in the project using Matlab.

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    I need an expert in the above fields .... i prefer a Phd holder . Previous works will be required from the freelancer.

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    Skills you need: C#.NET Imaging Expertise. Possibly knowledge of Aforge. Visual Studio 2013 or above. The current software is close. It sometimes works for certain images. What we need it to do is properly cut around a 'Foot' (Podiatry X-Ray Image) and then display the X-Ray in a high-quality manner. The Imaging API format that is being used is Aforge, and it's BlobFiltering in C#. Our customers complain that they don't want to see the edges of the images display (whitish-grayish) noise matter, when there is nothing there to display. It is just background noise in the image that is being projected. We want this filtered out. I've also tried pattern matching, but utterly failed. What I don't want: A new piece of software, or posted images from a new piece of software. What I do want: Please figure out what 'magical' imaging code... filters. That will cause 99% of the images including in the project to produce a fine-result. The code is written in and will remain that way. It is possible I suppose to include a C++ dll, there are some in the project. If you think you can switch to another API that works better for 'Artifact' finding better than 'Aforge', I will entertain this concept. Of course, you’ll also have to prove it with a results-oriented entry. Getting acquainted with the project: (Download links below) This was produced in Visual Studio 2013, and using Framework 4.5.1. The solution file for the project is in /XWaveDR/[url removed, login to view] You can change items around, if you feel it will help, but the real item in question for this contest is here: /T2D2_MAIN_CANON/T2D2_DC_MDI_1/[url removed, login to view] (This is where you will live) See procedures 'artifactFind(...), LocateObject(...) maybe GetHullImageMask(...) In DEBUG mode they spin-off ‘quick’ jpgs during processing so you can check their progress. During processing it changes the image-type to a ‘Bitmap’ than later changes back to a format that most of the rest of the software uses: A ushort(….) array of values. 'Running the project': After you get it built. Make sure that T2D2_MDI_CANON_52 is registered to start first, when it builds, make sure it builds in the included 'Build' directory. The one in the 'zip' file. That should work automatically?!. When you get it to start up... Tell the 'Patient Directory' to point to the 'image' directory downloaded above, that was in the 'zip' file. Click search with nothing in it, and then you’ll get 3-names. Double-Click on one, and you’ll see images on the right. Also to get it to do any 'Podiatry Find'(-ing), you need to check: Process-->Podiatry Find. After a proper exit, these settings will save. You should check the quality of one-without 'artifact' processing, to the quality of one with the 'artifact processing' or 'podiatry find' as the menu titles it. Now you’re ready to start messing with the code. I believe as the test code is currently for most images I left it not working so well. Your Entry should include: I believe Contests always need images. So, include as images at least: (These must appear to be as to on top of the software...) Demo_128i_www.a2d2xray.com_2014-1-21_16-58-30_2 Demo_128i_www.a2d2xray.com_2014-1-21_17-2-32_1 A2D2_Hands_9999_2013-3-6_16-55-17_2 Doe_Michael_734-730-2232_2011-5-2_10-46-3 Doe_Michael_734-730-2232_2011-5-2_10-45-26 (You'll find those sideways feet are the toughest in getting the BlobFilter engine to work with) I’ll need at least a sample of the changed code, before I make you the contest winner. I want to make sure you haven't just edited the images manually, or with some other proprietary software. It is to be considered copyrighted. Here is the link to the software, if you so choose to accept this contest: [url removed, login to view] 252MB CR2 X-Ray Images to examine are in the 'Images' directory. Here is a link: [url removed, login to view] Warning 800mb

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    implement DNN and ANN to detect a plate number of the car using images or video.

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    We want to design 3 infographic to explain our IT consulting & solution company. Each infographic will explain our services and processes to segments of future clients. We want creative designer with new ideas, we don't want to design basic infograph. Please before you chat with me show me your previous work. Best regards, Nawaf. Techraqsh for IT consulting and solutions.

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    I need to Recognize Digits Written in Marathi Language & Input same into the Database

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    You have to improve my code encoding and decoding time

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    develop an Qgis application that will use UAV imagery from corn and other crops plantations, that will be able to identify each plant, and count the plant stand in that area... further more, will need the app to be able to draw the plantation lines, and generate reports based on the distance between plants.

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