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peng-zhihui/deepvision

Analysis updated 2026-07-17 · repo last pushed 2021-11-09

★ 1,944JavaAudience · researcherComplexity · 4/5DormantSetup · moderate

TLDR

A Java framework that lets computer vision engineers test their trained models directly on phones and tablets without building a custom app each time.

Mindmap

mindmap
  root((repo))
    What it does
      Test CV models on mobile
      Capture camera and gallery input
      Display results and debug
    Tech stack
      Java
      OpenCV
      SNPE
      TensorFlow Lite
    Use cases
      Test object detection
      Try pose estimation
      Run face recognition
    Audience
      Computer vision engineers
      Mobile developers
      Researchers

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What do people build with it?

USE CASE 1

Test a newly trained object detection model on an Android phone without writing a custom test app.

USE CASE 2

Compare your own model's output against model-zoo baselines like YOLO or Openpose on-device.

USE CASE 3

Prototype a robotics or vision project by capturing live camera feed and running inference in real time.

USE CASE 4

Compress and optimize a computer vision model so it runs within a phone's battery and memory limits.

What is it built with?

JavaOpenCVTensorFlow LiteSNPEC++

How does it compare?

peng-zhihui/deepvisionsnailclimb/interview-guidezhisheng17/blog
Stars1,9442,1161,646
LanguageJavaJavaJava
Last pushed2021-11-09—2022-10-05
MaintenanceDormant—Dormant
Setup difficultymoderatehardmoderate
Complexity4/54/53/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires an Android device or emulator plus a pre-trained model file to test against.

No license information was mentioned in the explanation.

Copy-paste prompts

Prompt 1
Using DeepVision's Script API, help me write a configuration file to load a YOLO model and run it on live camera input without writing any Java code.
Prompt 2
Show me how to use DeepVision's Java API to load an image from the gallery, run pose estimation, and display the keypoints on screen.
Prompt 3
I want to compress my trained model using DeepVision's optimization tools so it runs faster on a low-end Android device, walk me through the steps.
Prompt 4
Help me use DeepVision's Native C/C++ API to integrate a custom face recognition model for maximum inference performance.
Prompt 5
Using DeepVision's model zoo, show me how to compare my custom object detection model's accuracy against the included Openpose baseline.

Frequently asked questions

What is deepvision?

A Java framework that lets computer vision engineers test their trained models directly on phones and tablets without building a custom app each time.

What language is deepvision written in?

Mainly Java. The stack also includes Java, OpenCV, TensorFlow Lite.

Is deepvision actively maintained?

Dormant — no commits in 2+ years (last push 2021-11-09).

What license does deepvision use?

No license information was mentioned in the explanation.

How hard is deepvision to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is deepvision for?

Mainly researcher.

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