Discover @Gaurav14cs17 Open Source projects

Gaurav (@Gaurav14cs17)

Gaurav14cs17

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Global Rank 286,019 (Top 10 %)
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Registered almost 7 years ago
Most used languages

Python
85.7 %

C++
14.3 %
Location 🇮🇳 India
Country Total Rank 9,198
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Python
2,611

YOLOE

PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv2, using anchor-free paradigm, more powerful backbone and neck equipped with CSPRepResStage, ET-head and dynamic label assignment algorithm TAL.

YOLOV6

YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.

YOLOX_pytorch

Object-Localization-Network

Therefore, Author propose a classification-free Object Localization Network (OLN) which estimates the objectness of each region purely by how well the location and shape of a region overlap with any ground-truth object (e.g., centerness and IoU).

Leetcode

Simple recursive algorithms. Backtracking algorithms. Divide and conquer algorithms. Dynamic programming algorithms. Greedy algorithms. Branch and bound algorithms. Brute force algorithms. Randomized algorithms.

Gaurav14cs17

PyTorch-Quantization

Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values. In the context of simulation and embedded computing, it is about approximating real-world values with a digital representation that introduces limits on the precision and range of a value

Oriented-Object-Detection-in-Aerial-Images

Oriented object detection in aerial images is a challenging task as the objects in aerial images are displayed in arbitrary directions and are usually densely packed. Current oriented object detection methods mainly rely on twostage anchor-based detectors