Unlocking Animal Pose Estimation with YOLOv8: Fine-tuning for Dogs

📚 Blog post Link: learnopencv.com/animal-pose-e...
📚 Check out our FREE Courses at OpenCV University : opencv.org/university/free-co...
In this video, we're diving into the world of Animal Pose Estimation, a niche within the computer vision landscape. Harnessing the prowess of the renowned YOLOv8 model from Ultralytics, we will decode the spatial configuration of body parts in animals, honing in on our four-legged friends - dogs!
Animal Pose Estimation seeks to decode the positions and postures of animals within visual data, aiming to shed light on elements like head orientation, limb placement, and tail positioning. As we delve deeper, you'll grasp the vast potential this holds in fields ranging from biomechanics research and wildlife monitoring to conservation efforts.
YOLOv8 is no stranger to multifaceted tasks, be it classification, detection, segmentation, tracking, or pose. Having previously ventured into training detection and segmentation models on custom datasets (🔗 links below), this time, we're set to navigate the intricacies of training YOLOv8 on a custom pose dataset. And for this exciting endeavor, the Stanford dogs dataset will be our training ground!
Stick around as we unravel the potential of fine-tuning YOLOv8 for animal pose estimation and dive deep into keypoint estimation, specifically curated for our canine companions.
🔗 Links:
Object Detection: • YOLOV8: Train a Custom...
Object Segmentation: • Training YOLOv8 Models...
Topics Covered:
✅ Stanford Dogs Dataset for Animal Pose Estimation
✅ Dataset Anomalies for Animal Pose Estimation
✅ Handling Mismatched Ground Truth Annotations across Boxes and Keypoints for Animal Pose Estimation
✅ Creating Annotations Consistent with YOLOv8 for Training and Validation Data
✅ Downloading Image Data and Keypoint Metadata
✅ Creating YOLO Train and Validation Directories for Animal Pose Estimation
✅ Creating Final YOLO Annotation Text Files
✅ Hyperparameter Settings and Fine-Tuning for Animal Pose Estimation
✅ Training Configuration
✅ Data Configuration
✅ Fine-tuning and Training for Animal Pose Estimation
✅ Evaluation of YOLOv8 on Animal Pose Estimation
✅ Visualizations of Image Predictions on Animal Pose
Resources:
🖥️ On our blog - learnopencv.com we also share tutorials and code on topics like Image
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
🤖 Learn from the experts on AI: Computer Vision and AI Courses
YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖
opencv.org/university/
#️⃣ Connect with Us #️⃣
📝 Linkedin: / satyamallick
📱 Twitter: / learnopencv
🔊 Facebook: profile.php?...
📸 Instagram: / learnopencv
🔗 Reddit: / spmallick
🔖Hashtags🔖
#AnimalPoseEstimation #YOLOv8 #ComputerVision #FineTuning #StanfordDogs #Ultralytics #KeyPointEstimation #ArtificialIntelligence #LearnOpenCV #MachineLearning #ArtificialIntelligence #DeepLearning #AI #opencvuniversity #deeplearning #computervision #learnopencv #opencv

[@LearnOpenCV]

Try out our FREE Courses at opencv.org/university/free-courses/

[@tershire]

Thank you for the video! If the animal is not dog, should I make dataset by myself?

[@LearnOpenCV]

You will either have to search for a dataset, or create one yourself. Check out our playlist on CVAT to know how to create the datasets: th-cam.com/play/PLfYPZalDvZDLvFhjuflhrxk_lLplXUqqB.html

[@tershire]

@@LearnOpenCV Wonderful. Thank you !

[@RokiFauzi]

can you help me ? error FileNotFoundError: [Errno 2] No such file or directory: 'StanfordExtra_V12/StanfordExtra_v12.json'

[@LearnOpenCV]

Fill this google form: forms.gle/sRtbicgxsWvRtRmUA

[@ingridakaz9097]

Is it possible to estimate x,y and z keypoint coordinates? As I understand YOLOv8 is only capable estimating X and Y?

[@LearnOpenCV]

Right now there are no provisions to estimate 3d coordinates (x, y, and z). One can fine-tune the pose models only with 2D coordinates with an optinaly visibility flag. Please check the documentation.docs.ultralytics.com/datasets/pose/

[@RokiFauzi]

If I want to upload an image and produce an output image that already has keypoint annotations using this code? how can i do that ? please answer :)

[@LearnOpenCV]

Please go through the prepare_predictions code for image inference explained in the blog post.

[@RokiFauzi]

@@LearnOpenCV can you write the full code that i mean pleeeaaseee ? i need to upload image and want to show output image that already has keypoint. I need your help

[@LearnOpenCV]

Please check this article for the code: learnopencv.com/animal-pose-estimation/@@RokiFauzi

[@Snower19764]

Where is the Google Colab link? I cannot find it.

[@LearnOpenCV]

Download the code from this blog post: learnopencv.com/animal-pose-estimation/