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what is deepvision fr?

peng-zhihui/deepvision — explained in plain English

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

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

tl;dr

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

vibe map

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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filefunction / class

what do people make with this?

VIBE 1

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

VIBE 2

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

VIBE 3

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

VIBE 4

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

what's the stack?

JavaOpenCVTensorFlow LiteSNPEC++

how it stacks up fr

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 i run it?

Difficulty · moderate time til it works · 30min

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

No license information was mentioned in the explanation.

prompts (copy fr)

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 fr?

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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