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Computer vision was a very popular topic when I did my internship at the Canadian defense back in 2018. It has continue to improve since. I just saw that a new version of the powerful computer vision …
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### Describe the feature and motivation
Torchvision and the python PIL library implement resizing operations that use a lowpass/anti-alias filter (see https://pytorch.org/vision/stable/generated/torc…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Happy Faces Detection using Computer Vision
:red_circle: **Aim** : The aim is to detect the happy faces…
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Does this require server-side rendering?
- since we only need unlit rendering (assuming we use the standard under-exposure approach for retroreflective tape), can we use software renderer to avoid n…
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This is an early attempt to define a set of C++ robotic constructs to encourage code reuse and interoperability among the various open-source robotic projects.
These can be implemented in the form …
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Hello @akshitagupta15june,
A face recognition project leveraging Python, along with essential libraries like NumPy and Pandas, would aim to develop an application capable of accurately identifying in…
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**Bug description**
Running "researcher" example fails when using gemini-pro model. It appears that the first step where David(Researcher) is passing the user query to CollectLinks(David) is not pass…
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In many (possibly most) of our test cases, we consider an image generated with np.asarray([...]) to be our representation of an image. However, this generates numpy arrays of 64-bit precision.
As I…
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Process a video stream from the Pi through computer/machine vision algorithms to detect objects (cars, bikes, trucks, etc.).
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Hello package developers I'd like to request the [rotated MNIST dataset](https://github.com/ChaitanyaBaweja/RotNIST). It's a canonical benchmark for testing computer vision algorithms wrt rotated imag…