Releases: johnolafenwa/DeepStack
DeepStack 2022.01.1 Release
This releases fixes a number of bugs and introduces new features and performance enhancements.
Highlights Include:
- New Image Super Resolution Endpoint
- Multithreaded Inference providing significant performance boost
- Arm64 Server Image for Inference on Higher end ARM64 devices
- HTTPS with support for SSL Certificates
Install the Latest Versions of DeepStack to take advantage of this update.
Docker CPU
deepquestai/deepstack:cpu-2022.01.1
Docker GPU
deepquestai/deepstack:gpu-2022.01.1
Docker Jetson
deepquestai/deepstack:jetpack-2021.01.1
Docker Arm64(Including Raspberry PI)
deepquestai/deepstack:arm64-2022.01.1
Docker Arm64 Server(For Higher End Arm64 Devices)
deepquestai/deepstack:arm64-server-2022.01.1
Find installers for Windows CPU and GPU in Assets below
What's Changed
- Add support for lowercase API_KEY by @OlafenwaMoses in #128
- added tls support by @johnolafenwa in #132
- Added Support for Newer GPUS by @johnolafenwa in #136
- PERF Improvement on multicore systems by @johnolafenwa in #139
- cleanup by @johnolafenwa in #140
- Enhance endpoint by @OlafenwaMoses in #138
- enabling overriding logging by @johnolafenwa in #143
- added multithreading to superresolution by @johnolafenwa in #145
- fix missing wget in GPU docker by @OlafenwaMoses in #146
- John/windows build fix by @johnolafenwa in #147
- Readme update by @OlafenwaMoses in #148
- fixed errors with windows versions by @johnolafenwa in #149
Full Changelog: 2021.09.1...2022.01.1
DeepStack 2021.09.1 Release
DeepStack 2021.09.1 Release
This releases fixes a number of bugs and includes updates to the windows cpu and gpu Versions
Install the Latest Versions of DeepStack to take advantage of this update.
Docker CPU
deepquestai/deepstack:cpu-2021.09.1
Docker GPU
deepquestai/deepstack:gpu-2021.09.1
Docker Jetson
deepquestai/deepstack:jetpack-2021.09.1
Docker Arm64(Including Raspberry PI)
deepquestai/deepstack:arm64-2021.09.1
Find installers for Windows CPU and GPU in Assets below
What's Changed
- Johnolafenwa/detection fix by @johnolafenwa in #90
- version update by @johnolafenwa in #102
- version change by @johnolafenwa in #103
- Feat port setting by @AbimbolaOO in #107
- fix(intelligencelayer/shared/face.py ): corrected the typography err … by @AbimbolaOO in #116
- Version update: 2021.09.1 by @OlafenwaMoses in #117
- Bump github.com/gin-gonic/gin from 1.4.0 to 1.7.0 in /server by @dependabot in #111
- Joolafen/windows fix by @johnolafenwa in #118
New Contributors
- @AbimbolaOO made their first contribution in #107
- @dependabot made their first contribution in #111
Full Changelog: 0.3-beta...2021.09.1
DeepStack Windows February Release
DeepStack 2021.02.1 Release
This release fixes the following issues in DeepStack across all versions
- Jetson Error on Jetpack 4.5
- Scene Recognition onnxruntime bug on Windows Native Versions
- Face Register Not working
- Requests taking forever. Failed requests due to internal errors now times out after 1 min with 500 error code
- Fixed Issue with Zero Min Confidence causing DeepStack to hang, all min_confidence are forced to 0.1 minimum
Install the Latest Versions of DeepStack to take advantage of this update.
Jetson Version:
deepquestai/deepstack:jetpack-2021.02.1
and deepquestai/deepstack:jetpack
Download Windows CPU Edition
Download Windows GPU Edition
Docker CPU Version:
deepquestai/deepstack:cpu-2021.02.1
and deepquestai/deepstack
Docker GPU Version:
deepquestai/deepstack:gpu-2021.02.1
and deepquestai/deepstack:gpu
DeepStack Windows Beta 2
This is a bug fix release
- MODE is now supported, run with
--MODE High
to run in High Mode - 500 internal server error occuring after DeepStack is run for a couple of hours is now fixed.
LabelIMG Windows
Image Annotation Tool.
Modified Binary from https://github.com/tzutalin/labelImg
DeepStack Windows Version - Beta
Native Windows Version of DeepStack
CPU Installation
Download and run DeepStack CPU Beta
GPU Installation
- Download and Install CUDA 10.1 from here https://developer.nvidia.com/cuda-10.1-download-archive-base
- Download and install Cudnn from here https://developer.nvidia.com/cudnn'
Download and run DeepStack GPU Beta
After Installation, open powershell and run the following commands as applicable
For Object Detection
deepstack --VISION-DETECTION True --PORT 80
For FACE Detection
deepstack --VISION-FACE True --PORT 80
For SCENE Recognition
deepstack --VISION-SCENE True --PORT 80
For CUSTOM OBJECT DETECTION MODELS
deepstack --MODELSTORE-DETECTION "C:/path-to-detection-models" --PORT 80
To Set Keys
deepstack --VISION-DETECTION True --PORT 80 --API-KEY MyPassword --ADMIN-KEY MyAdminPassword
More about DeepStack here https://docs.deepstack.cc