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Showing results for generate a video of a dog
GitHub Repo https://github.com/JuanPabloRami/Dog-Api-generator

JuanPabloRami/Dog-Api-generator

it generates random images and videos of dogs
StackOverflow https://stackoverflow.com/questions/64304732/multiple-dispatch-swift-attempt-conflicting-arguments-to-generic-parameter-t

Multiple Dispatch Swift attempt: Conflicting arguments to generic parameter 'T' ('Cat' vs. 'Dog')

Tags: swift, generics, protocols, multiple-dispatch
StackOverflow https://stackoverflow.com/questions/52245231/multi-object-tracking-using-opencv-python-delete-trackers-for-the-objects-that

Multi-Object Tracking using Opencv Python: Delete trackers for the objects that moved out of frame

Tags: python, computer-vision, object-detection, opencv
StackOverflow https://stackoverflow.com/questions/68288187/video-buffering-when-trying-to-play-it-flutter-dart

Video buffering when trying to play it flutter dart

Tags: android, flutter, dart, android-video-player, flutter-video-player
StackOverflow https://stackoverflow.com/questions/78602883/validation-data-in-cnn-model-is-causing-attributeerror-nonetype-object-has-no

Validation Data in CNN model is causing AttributeError: 'NoneType' object has no attribute 'items'

Tags: python, conv-neural-network, tensorflow2.0
StackOverflow https://stackoverflow.com/questions/76446062/how-to-call-method-in-godot-3-5-1

How to call method in Godot 3.5.1?

Tags: godot, gdscript
GitHub Repo https://github.com/nico-mikaela17/Dog-Of-The-Day

nico-mikaela17/Dog-Of-The-Day

App that will generate a dog picture/video with a dog fact
GitHub Repo https://github.com/malmusfer/Twitter_Data_Wrangling

malmusfer/Twitter_Data_Wrangling

I completed this project as part of Udacity's Data Analyst Nanodegree. The project is based around the "WeRateDogs" Twitter page, a page which will kindly rate pictures and videos of dogs out of ten. Since dogs are all round fantastic creatures, all of WeRateDogs’ ratings are above ten. They also tag each dog with a different category out of “doggo”, “floofer”, “pupper”, or “puppo”. An archive of this Twitter data for WeRateDogs’ tweets was provided for this project as a CSV file. Two more sources of data were also gathered as part of this project: predictions for which type of dog is present in each picture (carried out previously, not by myself, by being passed through an image classification algorithm) and additional tweet information acquired from Twitter. I approached this project using the three steps of data wrangling: gather, assess, clean. In the gather phase, the image prediction data was downloaded using Python's Requests library. The additional Twitter information (i.e. retweet and favorite counts) was downloaded using the Twitter API. In the following assess step, I then inspected the generated data frames in order to find any quality or tidiness issues. The cleaning step subsequently involved implementing steps to fix the quality and tidiness issues that were previously identified. Following the data wrangling process, and some exploration and analysis of the (now clean and tidy) data, was carried out, numerous interesting results were observed.
StackOverflow https://stackoverflow.com/questions/54883108/javascript-for-using-textbox-to-pull-up-specific-pictures

javascript for using textbox to pull up specific pictures

Tags: javascript, image, video, textbox
StackOverflow https://stackoverflow.com/questions/28758474/how-to-concatenate-videos-in-moviepy

How to concatenate videos in moviepy?

Tags: python, animation, concatenation, moviepy
StackOverflow https://stackoverflow.com/questions/28669311/c-how-to-implement-thread-pool-for-tasks-when-each-worker-thread-has-to-do-fe

C++, How to implement Thread pool for tasks when each worker thread has to do few different tasks

Tags: c++, multithreading, threadpool
GitHub Repo https://github.com/BernardNyarko/Smart-Monitor-An-AI-Powered-IoT-Monitoring-System-for-Small-Medium-Scale-Premises

BernardNyarko/Smart-Monitor-An-AI-Powered-IoT-Monitoring-System-for-Small-Medium-Scale-Premises

With recent advances in both Artificial Intelligence (AI) and Internet of Things (IoT) capabilities, it is more possible than ever to implement surveillance systems that can automatically identify people who might represent a potential security threat to the public in real-time. Imagine a surveillance camera system that can detect various on-body weapons, suspicious objects, and traffic. This system could transform surveillance cameras from passive sentries into active observers, which would help prevent a possible mass shooting in a school, stadium, or mall. In this project, we tried to realize such systems by implementing Smart-Monitor, an AI-powered threat detector for intelligent surveillance cameras. The developed system can be deployed locally on the surveillance cameras at the network edge. Deploying AI-enabled surveillance applications at the edge enables the initial analysis of the captured images on-site, reducing the communication overheads and enabling swift security actions. We developed a mobile app that users can detect suspicious objects in an image and video captured by several cameras at the network edge. Also, the model can generate a high-quality segmentation mask for each object instance in the photo, along with the confidence percentage. The camera side used a Raspberry Pi 4 device, Neural Compute Stick 2 (NCS 2), Logitech C920 webcam, motion sensors, buzzers, pushbuttons, LED lights, Python Face recognition, and TensorFlow Custom Object Detection. When the system detects a motion in the surrounding environment, the motion sensors send a signal to the Raspberry Pi device notifying it to start capturing images for such physical activity. Using Python’s face recognition and TensorFlow 2 custom object detection Smart-Monitor can recognize eight classes, including a baseball bat, bird, cat, dog, gun, hammer, knife, and human faces. Finally, we evaluated our system using various performance metrics such as classification time and accuracy, scalability, etc.
GitHub Repo https://github.com/usmsr56-ctrl/Usman-khan

usmsr56-ctrl/Usman-khan

AI-generated animals like dogs, cats, and tigers: --- 🐾 AI Animals in Action – Dog, Cat, Tiger | Stunning AI Video Compilation 🐅 Welcome to a mesmerizing journey where AI brings your favorite animals to life! 🐶🐱🐯 In this video, you'll see stunning, lifelike visuals of a dog, cat, and tiger—all created using advancedntent 💬 Don’t forget
StackOverflow https://stackoverflow.com/questions/10179744/whats-the-best-way-to-code-an-app-in-which-objects-must-interact-with-each-othe

What's the best way to code an app in which objects must interact with each other in complicated ways?

Tags: oop, command, state
StackOverflow https://stackoverflow.com/questions/37653009/efficient-way-of-creating-numerous-factory-objects-in-javascript

Efficient way of creating numerous factory objects in Javascript

Tags: javascript, factory-method