IntelRealSense · ev-mp · Jan 31, 2021 · Jan 20, 2021 · Jan 26, 2021 · Jan 21, 2021
diff --git a/.travis.yml b/.travis.yml
@@ -89,7 +89,7 @@ matrix:
         - cd ../wrappers/nodejs/
         - npm install
         - cd test
-        - wget http://realsense-hw-public.s3.amazonaws.com/rs-tests/nodejs_records.rec
+        - wget https://librealsense.intel.com/rs-tests/nodejs_records.rec
 
     - name: "Mac - cpp"
       os: osx
@@ -132,7 +132,7 @@ before_install:
   - mkdir build && cd build
   - if [[ "$RS_CPP_TEST" == "true" ]]; then
       export LRS_LOG_LEVEL="DEBUG";
-      url_records_path="http://realsense-hw-public.s3.amazonaws.com/rs-tests/lrs_2.8.3/";
+      url_records_path="https://librealsense.intel.com/rs-tests/lrs_2.8.3/";
       records_name="records_test.txt";
       url_records_list=$url_records_path$records_name;
       wget $url_records_path$records_name;

diff --git a/appveyor.yml b/appveyor.yml
@@ -63,7 +63,7 @@ build:
 #
 test_script:
 - ps: >-
-    $url_records_path = "http://realsense-hw-public.s3.amazonaws.com/rs-tests/lrs_2.8.3/"
+    $url_records_path = "https://librealsense.intel.com/rs-tests/lrs_2.8.3/"
 
     $url_records_list = $url_records_path + "records.txt"
 

diff --git a/common/fw-update-helper.cpp b/common/fw-update-helper.cpp
@@ -29,7 +29,7 @@ const char* fw_get_L5XX_FW_Image(int) { return NULL; }
 
 #endif // INTERNAL_FW
 
-constexpr const char* recommended_fw_url = "https://dev.intelrealsense.com/docs/firmware-releases";
+constexpr const char* recommended_fw_url = "https://dev.intelrealsense.com/docs/firmware-updates";
 
 namespace rs2
 {

diff --git a/common/fw/CMakeLists.txt b/common/fw/CMakeLists.txt
@@ -8,7 +8,7 @@ file(READ "firmware-version.h" ver)
 
 message(STATUS "Fetching recommended firmwares:")
 
-set(REALSENSE_FIRMWARE_URL "http://realsense-hw-public.s3.amazonaws.com" CACHE STRING
+set(REALSENSE_FIRMWARE_URL "https://librealsense.intel.com" CACHE STRING
     "URL to download firmware binaries from")
 
 string(REGEX MATCH "D4XX_RECOMMENDED_FIRMWARE_VERSION \"([0-9]+.[0-9]+.[0-9]+.[0-9]+)\"" _ ${ver})

diff --git a/doc/sample-data.md b/doc/sample-data.md
@@ -18,8 +18,8 @@ pipe.start(cfg); // Load from file
 
 | []() | []() |
 | ------------- |---------------|
-| <a href="http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/outdoors.bag" title="Outdoors Stereo Example">![](http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/outdoor-preview.png)</a> | Outdoors scene captured with D415 pre-production sample (Depth from Stereo) |
-| <a href="http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/stairs.bag" title="Staircase Example">![](http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/stairs-preview.png)</a> | Flight of stairs captured D435 pre-production sample (Depth from Stereo) |
-| <a href="http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/structured.bag" title="Structured Light Short-Range Example">![](http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/structured-preview.png)</a> | Short-range scene captured with the SR300 Depth Camera (Structured Light technology) |
-| <a href="http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/depth_under_water.bag" title="D415 + Submerged objects">![](http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/depth_under_water.png)</a> | Scene captured with pre-production D415 device (Depth from Stereo) with objects submerged under water [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/IntelRealSense/librealsense/jupyter?filepath=notebooks/depth_under_water.ipynb) |
-| <a href="http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/d435i_sample_data.zip" title="D435i_sample">![](http://realsense-hw-public.s3.amazonaws.com/rs-tests/TestData/d435i_preview.png)</a> | Outdoor scene with D435i pre-production sample (Depth from Stereo with IMU) |
+| <a href="https://librealsense.intel.com/rs-tests/TestData/outdoors.bag" title="Outdoors Stereo Example">![](https://librealsense.intel.com/rs-tests/TestData/outdoor-preview.png)</a> | Outdoors scene captured with D415 pre-production sample (Depth from Stereo) |
+| <a href="https://librealsense.intel.com/rs-tests/TestData/stairs.bag" title="Staircase Example">![](https://librealsense.intel.com/rs-tests/TestData/stairs-preview.png)</a> | Flight of stairs captured D435 pre-production sample (Depth from Stereo) |
+| <a href="https://librealsense.intel.com/rs-tests/TestData/structured.bag" title="Structured Light Short-Range Example">![](https://librealsense.intel.com/rs-tests/TestData/structured-preview.png)</a> | Short-range scene captured with the SR300 Depth Camera (Structured Light technology) |
+| <a href="https://librealsense.intel.com/rs-tests/TestData/depth_under_water.bag" title="D415 + Submerged objects">![](https://librealsense.intel.com/rs-tests/TestData/depth_under_water.png)</a> | Scene captured with pre-production D415 device (Depth from Stereo) with objects submerged under water [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/IntelRealSense/librealsense/jupyter?filepath=notebooks/depth_under_water.ipynb) |
+| <a href="https://librealsense.intel.com/rs-tests/TestData/d435i_sample_data.zip" title="D435i_sample">![](https://librealsense.intel.com/rs-tests/TestData/d435i_preview.png)</a> | Outdoor scene with D435i pre-production sample (Depth from Stereo with IMU) |
diff --git a/unit-tests/CMakeLists.txt b/unit-tests/CMakeLists.txt
@@ -164,7 +164,7 @@ endfunction()
 
 
 
-set(PP_TESTS_URL http://realsense-hw-public.s3.amazonaws.com/rs-tests/post_processing_tests_2018_ww18/)
+set(PP_TESTS_URL https://librealsense.intel.com/rs-tests/post_processing_tests_2018_ww18/)
 message(STATUS "Preparing to download Post-processing tests dataset...\nRemote server: ${PP_TESTS_URL}\nTarget Location: ${Deployment_Location}\n")
 foreach(i ${PP_Tests_List})
   set(Test_Pattern ${i})
@@ -209,7 +209,7 @@ list(APPEND PP_Rosbag_Recordings_List
     single_depth_color_640x480.bag
     D435i_Depth_and_IMU.bag
 )
- set(PP_Rosbag_Recordings_URL http://realsense-hw-public.s3.amazonaws.com/rs-tests/Rosbag_unit_test_records/)
+ set(PP_Rosbag_Recordings_URL https://librealsense.intel.com/rs-tests/Rosbag_unit_test_records/)
 foreach(i ${PP_Rosbag_Recordings_List})
     set (empty FALSE)
     is_file_empty(empty, ${Deployment_Location}${i} )

diff --git a/unit-tests/algo/dl_algo_file.cmake b/unit-tests/algo/dl_algo_file.cmake
@@ -1,7 +1,7 @@
 
 # Image files are not included in our distribution. Define a function for easy downloading at CMake time:
 #realsense-hw-public/rs-tests/algo/depth-to-rgb-calibration/19.2.20/F9440687/Snapshots/LongRange 768X1024 (RGB 1920X1080)
-set(ALGO_SRC_URL "http://realsense-hw-public.s3-eu-west-1.amazonaws.com/rs-tests/algo")
+set(ALGO_SRC_URL "https://librealsense.intel.com/rs-tests/algo")
 
 function(dl_algo_file filename sha1)
     set(path "${CMAKE_CURRENT_BINARY_DIR}/algo/${filename}")

diff --git a/wrappers/labview/readme.md b/wrappers/labview/readme.md
@@ -1,16 +1,16 @@
 # Getting Started with RealSense™ SDK2.0 for LabVIEW®
 
 > **Download Links**:
-> * [**(Latest)** RealSense SDK2 for LabVIEW 1.0, 2.33.0, Feb 2020](https://realsense-hw-public.s3-eu-west-1.amazonaws.com/Releases/RS4xx/Windows/labview_2_33_0.zip)
-> * [RealSense SDK2 for LabVIEW 1.0, 2.11.0, May 2018](http://realsense-hw-public.s3.amazonaws.com/Releases/RS4xx/Windows/labview_2.11_0.zip)
-> * [RealSense SDK2 for LabVIEW 1.0, 2.10.4, Apr 2018](http://realsense-hw-public.s3.amazonaws.com/Releases/RS4xx/Windows/labview_2_10_4.zip)
-> * [RealSense SDK2 for LabVIEW 1.0, 2.8.1, Nov 2017](http://realsense-hw-public.s3.amazonaws.com/Releases/RS4xx/Windows/labview_2_8_1.zip)
+> * [**(Latest)** RealSense SDK2 for LabVIEW 1.0, 2.33.0, Feb 2020](https://librealsense.intel.com/Releases/RS4xx/Windows/labview_2_33_0.zip)
+> * [RealSense SDK2 for LabVIEW 1.0, 2.11.0, May 2018](https://librealsense.intel.com/Releases/RS4xx/Windows/labview_2.11_0.zip)
+> * [RealSense SDK2 for LabVIEW 1.0, 2.10.4, Apr 2018](https://librealsense.intel.com/Releases/RS4xx/Windows/labview_2_10_4.zip)
+> * [RealSense SDK2 for LabVIEW 1.0, 2.8.1, Nov 2017](https://librealsense.intel.com/Releases/RS4xx/Windows/labview_2_8_1.zip)
 
 ## Introduction:
 The latest generation of RealSense Depth Cameras can be controlled via the RealSense SDK2.0, also referred to as libRealSense 2.x.x, or LibRS for short. This includes stereo depth cameras D415 and D435 as well as their corresponding modules, such as D410 and D430.
 
 
-To get started controlling the RealSense Cameras with LabVIEW® in Windows 10, we have created a [VI-library](http://realsense-hw-public.s3.amazonaws.com/Releases/RS4xx/Windows/labview_2_8_1.zip) that wraps most of the core functions of the realsense2.dll, and we have also created some simple “Hello World” VI’s to get started capturing Color, Depth Maps, and displaying Point-Clouds.  This uses LabVIEW 2016 and requires a Windows 10 laptop with a USB3 port.   
+To get started controlling the RealSense Cameras with LabVIEW® in Windows 10, we have created a [VI-library](https://librealsense.intel.com/Releases/RS4xx/Windows/labview_2_8_1.zip) that wraps most of the core functions of the realsense2.dll, and we have also created some simple “Hello World” VI’s to get started capturing Color, Depth Maps, and displaying Point-Clouds.  This uses LabVIEW 2016 and requires a Windows 10 laptop with a USB3 port.   
 
 
 The realsense2.dll that is included in this package is 64bit for Windows 10. Other versions (ex: 32bit) could be compiled by following the [instructions on GitHub](https://github.com/IntelRealSense/librealsense/blob/master/doc/installation_windows.md).  Just rename them realsense2.dll and replace the file in the location used by the LabVIEW demos.

diff --git a/wrappers/openvino/dl_vino_model.cmake b/wrappers/openvino/dl_vino_model.cmake
@@ -1,7 +1,7 @@
 
 # OpenVINO model files are not included in our distribution. Define a function for easy
 # downloading at CMake time:
-set(OPENVINO_MODEL_SRC_URL "http://realsense-hw-public.s3-eu-west-1.amazonaws.com/rs-tests/OpenVINO_data")
+set(OPENVINO_MODEL_SRC_URL "https://librealsense.intel.com/rs-tests/OpenVINO_data")
 function(dl_vino_model filename sha1)
     set(path "${CMAKE_CURRENT_BINARY_DIR}/${filename}")
     if(NOT EXISTS "${path}")

diff --git a/wrappers/tensorflow/README.md b/wrappers/tensorflow/README.md
@@ -211,7 +211,7 @@ When we upsample we get the lost information back (by the concatenation process)
 so we can see last-layer features in the perspective of the layer above them.
 
 #### Training Dataset
-Download [part 1](http://realsense-hw-public.s3.eu-west-1.amazonaws.com/rs-tests/ML/Depth_Learning/Dataset/part1_1_4000.zip) and [part 2](http://realsense-hw-public.s3.eu-west-1.amazonaws.com/rs-tests/ML/Depth_Learning/Dataset/part2_4001_8375.zip) of the dataset. It contains 4 types of 848x480 images in uncompressed PNG format: 
+Download [part 1](https://librealsense.intel.com/rs-tests/ML/Depth_Learning/Dataset/part1_1_4000.zip) and [part 2](http://realsense-hw-public.s3.eu-west-1.amazonaws.com/rs-tests/ML/Depth_Learning/Dataset/part2_4001_8375.zip) of the dataset. It contains 4 types of 848x480 images in uncompressed PNG format: 
 
 ###### 1. Simulated Left Infrared:
 - Synthetic view from left infrared sensor of the virtual camera, including infrared projection pattern
@@ -327,7 +327,7 @@ The output is a BAG file that could be opened by RealSense viewer.
 
 
 ## Part 5 - Applying trained network to real data:
-[Example 5](https://github.com/nohayassin/librealsense/blob/tensorflow/wrappers/tensorflow/example5%20-%20denoise.py) is showing how to use trained network from Part 4 ([Keras Unet model](http://realsense-hw-public.s3.eu-west-1.amazonaws.com/rs-tests/ML/Depth_Learning/DEPTH_Keras_Unet.model.zip)) on live data from Intel RealSense Camera. It can be invoke as follows: 
+[Example 5](https://github.com/nohayassin/librealsense/blob/tensorflow/wrappers/tensorflow/example5%20-%20denoise.py) is showing how to use trained network from Part 4 ([Keras Unet model](https://librealsense.intel.com/rs-tests/ML/Depth_Learning/DEPTH_Keras_Unet.model.zip)) on live data from Intel RealSense Camera. It can be invoke as follows: 
 
 ```py
 python camera_simulation.py <path to the model>

diff --git a/wrappers/unity/readme.md b/wrappers/unity/readme.md
@@ -1,6 +1,6 @@
 # Unity Wrapper for RealSense SDK 2.0
 
-<p align="center"><img src="http://realsense-hw-public.s3.amazonaws.com/rs-tests/unity_screenshot.PNG" height="400"/></p>
+<p align="center"><img src="https://librealsense.intel.com/rs-tests/unity_screenshot.PNG" height="400"/></p>
 
 > [Download **realsense.unitypackage**](https://github.com/IntelRealSense/librealsense/releases) and go to `Assets > Scenes > Start Here` to see the home screen above