Pipeline

JunshengFu/vehicle-detection: Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Objective

A demo of Vehicle Detection System: a monocular camera is used for detecting vehicles.

(1) Highway Drive (with Lane Departure Warning) (Click to see the full video)

gif_demo1

(2) City Drive (Vehicle Detection only) (Click to see the full video)

gif_demo2


Code & Files

1. My project includes the following files


Others are the same as in the repository of Lane Departure Warning System:

  • calibration.py contains the script to calibrate camera and save the calibration results
  • lane.py contains the lane class
  • examples folder contains the sample images and videos

2. Dependencies & my environment

Anaconda is used for managing my dependencies.

  • You can use provided environment-gpu.yml to install the dependencies.
  • OpenCV3, Python3.5, tensorflow, CUDA8
  • OS: Ubuntu 16.04

3. How to run the code

(1) Download weights for YOLO

You can download the weight from here and save it to
the weights folder.

(2) If you want to run the demo,

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Bicycle Therapeutics Announces Pipeline Progress Update

CAMBRIDGE, England & BOSTON–(BUSINESS WIRE)–Bicycle Therapeutics plc (NASDAQ: BCYC), a biotechnology company pioneering a new and differentiated class of therapeutics based on its proprietary bicyclic peptide (Bicycle®) technology, today announced progress updates across its wholly-owned and partnered programs in oncology and non-oncology indications.

“We and our partners have recently achieved important progress in the advancement of our pipeline that we believe could catalyze the next stage of growth for Bicycle,” said Kevin Lee, Ph.D., Chief Executive Officer of Bicycle Therapeutics. “Cancer Research UK has identified a recommended dose, which is within the therapeutic range predicted by preclinical models, for the Phase IIa study of BT1718, which we expect to commence this year. Our next-generation Bicycle Toxin Conjugates (BTCs), BT5528 and BT8009, are quickly progressing through respective stages of development. In addition, we believe our recently announced early discovery collaboration with Genentech will allow us to make

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