[vc_row content_placement=”middle”][vc_column][vc_column_text]
Download Deepsight Face
State of the Art Deep learning powered Face Detection, Recognition, Demographics, Gender, Age, Landmarks
Served through a REST-ful API
[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][gem_button position=”fullwidth” size=”giant” corner=”3″ icon_pack=”material” text=”Visit GitHub Repo for Code Examples” link=”url:https%3A%2F%2Fgithub.com%2Fbaseapp%2FDeepSight-Face-Recognition-SDK|||” icon_material=”f350″ background_color=”#1e73be” hover_background_color=”#64c194″][/vc_column][/vc_row][vc_row][vc_column][gem_icon_with_text icon_pack=”material” icon_size=”large” centered=”1″ icon_material=”f5e4″][vc_column_text]
Windows
[/vc_column_text][vc_row_inner content_placement=”middle”][vc_column_inner width=”1/2″][vc_column_text]
CPU-Only
System Requirements
- 8 GB RAM
- 1 GB Hardisk
- Windows 7 SP1+ 64-bit
- VS 15 runtime to overcome the missing msvcp140.dll issue. See here.
[/vc_column_text][vc_tta_accordion style=”modern” shape=”square” color=”green” c_align=”center” c_icon=”” active_section=”9″ collapsible_all=”true”][vc_tta_section title=”Download” tab_id=”1521539100504-747e07b3-bab5″][vc_column_text]
[email-download download_id=”24963″ contact_form_id=”24961″]
[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column_inner][vc_column_inner width=”1/2″ css=”.vc_custom_1520953218747{border-left-width: 0px !important;border-left-color: #000000 !important;border-left-style: solid !important;}”][vc_column_text]
GPU Accelerated (CUDA)
System Requirements
- 8 GB RAM
- 1 GB Hardisk
- Nvidia Pascal GPU (GTX 1060+)
- Windows 7 SP1+ 64 bit
- VS 15 runtime to overcome the missing msvcp140.dll issue. See here.
- Nvidia CUDA v9.0 Installation
- Nvidia cuDNN v7.0 for CUDA v9.0
Use key “TRIAL” for free 14 day trial or Visit the shop to purchase a key
[/vc_column_text][vc_tta_accordion style=”modern” shape=”square” color=”green” c_align=”center” c_icon=”” active_section=”9″ collapsible_all=”true”][vc_tta_section title=”Download” tab_id=”1521539257122-a75fbb85-bd67″][vc_column_text][email-download download_id=”24965″ contact_form_id=”24961″][/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column_inner][/vc_row_inner][/gem_icon_with_text][/vc_column][/vc_row][vc_row][vc_column][gem_icon_with_text icon_pack=”fontawesome” icon_size=”large” centered=”1″ icon_fontawesome=”f17c”][vc_column_text]
Linux
[/vc_column_text][vc_row_inner content_placement=”middle”][vc_column_inner width=”1/2″][vc_column_text]
CPU-Only
System Requirements
- AVX Enabled CPU (Launched after 2011)
- 8 GB RAM
- 1 GB Hardisk
Tested only on Ubuntu[/vc_column_text][vc_tta_accordion style=”modern” shape=”square” color=”green” c_align=”center” c_icon=”” active_section=”99″ collapsible_all=”true”][vc_tta_section title=”Download” tab_id=”1521532608662-b0ea751e-c755″][vc_column_text][email-download download_id=”24967″ contact_form_id=”24961″][/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column_inner][vc_column_inner width=”1/2″ css=”.vc_custom_1520953218747{border-left-width: 0px !important;border-left-color: #000000 !important;border-left-style: solid !important;}”][vc_column_text]
GPU Accelerated (CUDA)
System Requirements
- AVX Enabled CPU (Launched after 2011)
- 8 GB RAM
- 1 GB Hardisk
- Nvidia Pascal GPU (GTX 1060+)
- Nvidia CUDA v8.0 Installation
- Nvidia cuDNN v5.0 for CUDA v8.0
Tested only on Ubuntu
Use key “TRIAL” for free 14 day trial or Visit the shop to purchase a key
[/vc_column_text][vc_tta_accordion style=”modern” shape=”square” color=”green” c_align=”center” c_icon=”” active_section=”9″ collapsible_all=”true”][vc_tta_section title=”Download” tab_id=”1521538904299-5cd92f6b-fc1f”][vc_column_text][email-download download_id=”24969″ contact_form_id=”24961″][/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column_inner][/vc_row_inner][/gem_icon_with_text][/vc_column][/vc_row][vc_row][vc_column][gem_button position=”fullwidth” size=”giant” corner=”3″ icon_pack=”material” text=”Visit GitHub Repo for Code Examples” link=”url:https%3A%2F%2Fgithub.com%2Fbaseapp%2FDeepSight-Face-Recognition-SDK|||” icon_material=”f350″ background_color=”#1e73be” hover_background_color=”#64c194″][vc_column_text]
See the getting-started guide for instructions and documentation on using the SDK
[/vc_column_text][/vc_column][/vc_row]
