Hello trend,
This is Satya Mallick from LearnOpenCV.com.
Object Tracking is one of the most popular Computer Vision problems for real-world applications. Applications like real-time surveillance and autonomous driving systems cannot reach their full potential without tracking.
However, testing a lot of detection models and reidentification models is cumbersome. For that, we are going to streamline the process of real-time tracking using Deep SORT with Torchvision detectors.
So without further ado, let's jump into the video tutorial
| Real Time Deep SORT with Torchvision Detectors |
Accompanying code for the blog post can be found here:
| Download Code |
ChatGPT Live Class
In case you missed it, I am conducting a free technical webinar where you will learn how to build an application using ChatGPT for analyzing and matching thousands of resumes to a job description.
⌛ When? Sep 17 (Sunday) 9 AM to 12 PM Pacific Time
Register using the link below. Seats are limited.
| Register Now |
The following topics will be covered in depth.
✔️ Enhanced Text Extraction: Implement techniques for extracting text from various document formats, such as PDF, DOC, and DOCX files.
✔️ Intelligent Structuring of Unstructured Data: Utilize GPT API to transform unstructured text into structured data, facilitating the extraction of key information such as name, email, and phone number from resumes. Just a few months back, you had to be an expert in Natural Language Processing to pull this off.
✔️ Automated Resume Summarization: Develop an automated system for summarizing resumes, highlighting the most pertinent information for recruiters and HR professionals, thereby speeding up the initial screening process.
✔️ ChatGPT for Information Extraction: Learn custom prompts to efficiently extract specific information from resumes, such as technical skills and years of experience, making the recruitment process more efficient.
✔️ Job Description Requirement Extraction: Implement prompts and GPT API to automatically extract essential requirements and qualifications from job descriptions, aiding in the creation of a structured checklist of criteria for candidate evaluation.
✔️ Resume and Job Description Matching: Develop a smart matching system that compares the structured data of a resume with the requirements extracted from a job description. This will provide insights into any missing elements and enable the system to rate a resume against the job requirements, assisting recruiters in shortlisting candidates more effectively.
If that sounds interesting, please use the link below to register.
| Register Now |
Cheers,
Satya
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