GitHub - kuangliu/torchcv: TorchCV: a PyTorch vision library mimics ChainerCVYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.
How to train your own Object Detector with TensorFlow’s Object Detector API
This is a follow-up post on “Building a Real-Time Object Recognition App with Tensorflow and OpenCV” where I focus on training my own classes. Specifically, I trained my own Raccoon detector on a dataset that I collected and labeled by myself. The full dataset is available on my Github repo. By the way, here is the Raccoon detector in action: The Raccoon detector.If you want to know the details, y
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. To this end, we investigate various ways to trade accuracy for speed and memory usage in modern convolutional object detection systems. A number of successful systems have been proposed in recent years, but apples-to-apples
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ChainerCV: a Library for Deep Learning in Computer Vision
thinkpad X200をSSDへ
