Use Pretrained Semantic Segmentation Models On TensorFlow Hub
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In this computer vision tutorial video, we're going to demonstrate how to use pretrained semantic segmentation models that are hosted on TensorFlow hub.
⭐️ Time Stamps:⭐️
00:00-00:13: Introduction
00:13-00:58: TensorFlow Hub
00:58-02:00: TensorFlow Hub Website
02:00-02:17: Downloading Sample Images
02:17-03:15: Displaying Sample Images
03:15-04:01: Loading Images
04:01-04:29: Mapping
04:29-06:45: Model Inference
06:45-09:05: Tensor to NumPy Array
09:05-13:04: Displaying Sample Images
13:04-13:48: Printing Values
13:48-14:45: Convenience Function
14:45-15:19: Greyscale Version of Segmentation Map
15:19-16:17: Formalize Implementation
16:17-18:54: Run Inference
18:54-20:20: Calling in Run Inference Function
20:20-20:51: Conclusion
Resources:
🖥️ On our blog - https://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.
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📚 Blog post Link: https://learnopencv.com/image-segment...
In this computer vision tutorial video, we're going to demonstrate how to use pretrained semantic segmentation models that are hosted on TensorFlow hub.
⭐️ Time Stamps:⭐️
00:00-00:13: Introduction
00:13-00:58: TensorFlow Hub
00:58-02:00: TensorFlow Hub Website
02:00-02:17: Downloading Sample Images
02:17-03:15: Displaying Sample Images
03:15-04:01: Loading Images
04:01-04:29: Mapping
04:29-06:45: Model Inference
06:45-09:05: Tensor to NumPy Array
09:05-13:04: Displaying Sample Images
13:04-13:48: Printing Values
13:48-14:45: Convenience Function
14:45-15:19: Greyscale Version of Segmentation Map
15:19-16:17: Formalize Implementation
16:17-18:54: Run Inference
18:54-20:20: Calling in Run Inference Function
20:20-20:51: Conclusion
Resources:
🖥️ On our blog - https://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 who have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖
https://opencv.org/courses
#️⃣ Connect with Us #️⃣
📝 Linkedin: LinkedIn: satyamallick
📱 Twitter: Twitter: LearnOpenCV
🔊 Facebook: https://www.facebook.com/profile.php?...
📸 Instagram: Instagram: learnopencv
🔗 Reddit: Reddit: spmallick
🔖Hashtags🔖
#keras #tensorflow #machinelearning #neuralnetwork #objectdetection #deeplearning #computervision #learnopencv #opencv #tutorial #kerastutorial #tensorflowtutorial
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