BCNet VS yolov7

Compare BCNet vs yolov7 and see what are their differences.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors (by WongKinYiu)
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BCNet yolov7
1 33
509 12,715
- -
3.0 3.2
11 months ago 11 days ago
Python Jupyter Notebook
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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BCNet

Posts with mentions or reviews of BCNet. We have used some of these posts to build our list of alternatives and similar projects.

yolov7

Posts with mentions or reviews of yolov7. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-17.

What are some alternatives?

When comparing BCNet and yolov7 you can also consider the following projects:

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

mmdetection - OpenMMLab Detection Toolbox and Benchmark

edgetpu - Coral issue tracker (and legacy Edge TPU API source)

yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

YOLOv4 - Port of YOLOv4 to C# + TensorFlow

PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

darknet - Convolutional Neural Networks

AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model