From 9e39ed14c54ed89eaca8d8a07636c489e2e61417 Mon Sep 17 00:00:00 2001 From: Your Name Date: Fri, 1 Nov 2024 10:24:04 +0000 Subject: [PATCH 1/8] added information to index --- .../microcontrollers/yolo-on-himax/_index.md | 36 ++++++++++++++ .../yolo-on-himax/_next-steps.md | 27 +++++++++++ .../microcontrollers/yolo-on-himax/_review.md | 45 ++++++++++++++++++ .../yolo-on-himax/example-picture.png | Bin 0 -> 63167 bytes .../yolo-on-himax/how-to-1.md | 10 ++++ .../yolo-on-himax/how-to-2.md | 13 +++++ 6 files changed, 131 insertions(+) create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/_index.md create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/_review.md create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/example-picture.png create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md new file mode 100644 index 0000000000..cb9ffb0e50 --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -0,0 +1,36 @@ +--- +title: PLACEHOLDER TITLE + +minutes_to_complete: 10 + +who_is_this_for: PLACEHOLDER SENTENCE + +learning_objectives: + - PLACEHOLDER OBJECTIVE 1 + - PLACEHOLDER OBJECTIVE 2 + +prerequisites: + - PLACEHOLDER PREREQ 1 + - PLACEHOLDER PREREQ 2 + +author_primary: PLACEHOLDER NAME + +### Tags +skilllevels: PLACEHOLDER SKILLLEVEL +subjects: PLACEHOLDER SUBJECT +armips: + - PLACEHOLDER IP A + - PLACEHOLDER IP B +tools_software_languages: + - PLACEHOLDER TOOL OR SOFTWARE C + - PLACEHOLDER TOOL OR SOFTWARE D +operatingsystems: + - PLACEHOLDER OS G + + +### FIXED, DO NOT MODIFY +# ================================================================================ +weight: 1 # _index.md always has weight of 1 to order correctly +layout: "learningpathall" # All files under learning paths have this same wrapper +learning_path_main_page: "yes" # This should be surfaced when looking for related content. Only set for _index.md of learning path content. +--- diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md b/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md new file mode 100644 index 0000000000..c4ae77cc92 --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md @@ -0,0 +1,27 @@ +--- +next_step_guidance: PLACEHOLDER TEXT 1 + +recommended_path: /learning-paths/PLACEHOLDER_CATEGORY/PLACEHOLDER_LEARNING_PATH/ + +further_reading: + - resource: + title: PLACEHOLDER MANUAL + link: PLACEHOLDER MANUAL LINK + type: documentation + - resource: + title: PLACEHOLDER BLOG + link: PLACEHOLDER BLOG LINK + type: blog + - resource: + title: PLACEHOLDER GENERAL WEBSITE + link: PLACEHOLDER GENERAL WEBSITE LINK + type: website + + +# ================================================================================ +# FIXED, DO NOT MODIFY +# ================================================================================ +weight: 21 # set to always be larger than the content in this path, and one more than 'review' +title: "Next Steps" # Always the same +layout: "learningpathall" # All files under learning paths have this same wrapper +--- diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_review.md b/content/learning-paths/microcontrollers/yolo-on-himax/_review.md new file mode 100644 index 0000000000..9b1bfb96fe --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_review.md @@ -0,0 +1,45 @@ +--- +review: + - questions: + question: > + PLACEHOLDER QUESTION 1? + answers: + - PLACEHOLDER ANSWER A + - PLACEHOLDER ANSWER B + correct_answer: 1 + explanation: > + PLACEHOLDER EXPLANATION 1 + + - questions: + question: > + PLACEHOLDER QUESTION 2? + answers: + - PLACEHOLDER ANSWER A + - PLACEHOLDER ANSWER B + - PLACEHOLDER ANSWER C + - PLACEHOLDER ANSWER D + correct_answer: 4 + explanation: > + PLACEHOLDER EXPLANATION 2 + + - questions: + question: > + PLACEHOLDER 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b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md new file mode 100644 index 0000000000..f884b5592b --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md @@ -0,0 +1,13 @@ +--- +title: PLACEHOLDER STEP TITLE 2 +weight: 3 + +### FIXED, DO NOT MODIFY +layout: learningpathall +--- + +## PLACEHOLDER HEADER OF SECOND STEP +YOUR CONTENT GOES HERE + +IMAGE HERE: +![example image alt-text#center](example-picture.png "Figure 1. Example image caption") From cbe0c9209aaf1660a17283105cf51ae8eb68a9ab Mon Sep 17 00:00:00 2001 From: Your Name Date: Fri, 1 Nov 2024 10:24:42 +0000 Subject: [PATCH 2/8] added information to index --- .../microcontrollers/yolo-on-himax/_index.md | 34 +++++++++++-------- 1 file changed, 19 insertions(+), 15 deletions(-) diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md index cb9ffb0e50..32c51c405b 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -1,31 +1,35 @@ --- -title: PLACEHOLDER TITLE +title: Run Yolo computer vision model on a Himax microcontroller -minutes_to_complete: 10 +minutes_to_complete: 90 -who_is_this_for: PLACEHOLDER SENTENCE +who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U85. learning_objectives: - - PLACEHOLDER OBJECTIVE 1 - - PLACEHOLDER OBJECTIVE 2 + - Run Yolo model on off-the-shelf hardware based on the Arm Cortex-M55 and Ethos-U55 + - Build Himax SDK and generate firmware image file + - Update firmware on edge device (Himax WiseEye2) + prerequisites: - - PLACEHOLDER PREREQ 1 - - PLACEHOLDER PREREQ 2 + - [Seeed Grove Vision AI V2 Module](https://www.seeedstudio.com/Grove-Vision-AI-Module-V2-p-5851.html) + - [OV5647-62 Camera module and included FPC cable](https://www.seeedstudio.com/OV5647-69-1-FOV-Camera-module-for-Raspberry-Pi-3B-4B-p-5484.html) + - An Windows based machine running an x86 archiecture. -author_primary: PLACEHOLDER NAME +author_primary: Chaodong Gong ### Tags -skilllevels: PLACEHOLDER SKILLLEVEL -subjects: PLACEHOLDER SUBJECT +skilllevels: Beginner +subjects: Object Detection armips: - - PLACEHOLDER IP A - - PLACEHOLDER IP B + - Cortex M55 + - Ethos U55 tools_software_languages: - - PLACEHOLDER TOOL OR SOFTWARE C - - PLACEHOLDER TOOL OR SOFTWARE D + - Himax SDK + - bash scripting operatingsystems: - - PLACEHOLDER OS G + - Windows + - Linux ### FIXED, DO NOT MODIFY From 245afa7c6f55125be21aaafe575ebc0d1adfd102 Mon Sep 17 00:00:00 2001 From: Your Name Date: Fri, 1 Nov 2024 11:21:54 +0000 Subject: [PATCH 3/8] copied information from draft pdf --- .../microcontrollers/yolo-on-himax/_index.md | 7 +-- .../yolo-on-himax/example-picture.png | Bin 63167 -> 0 bytes .../yolo-on-himax/himax_web_ui.jpg | Bin 0 -> 27405 bytes .../yolo-on-himax/how-to-1.md | 56 +++++++++++++++++- .../yolo-on-himax/how-to-2.md | 45 ++++++++++++-- .../yolo-on-himax/how-to-3.md | 33 +++++++++++ .../yolo-on-himax/how-to-4.md | 28 +++++++++ 7 files changed, 157 insertions(+), 12 deletions(-) delete mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/example-picture.png create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/himax_web_ui.jpg create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md index 32c51c405b..f9c722c3ff 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -10,13 +10,12 @@ learning_objectives: - Build Himax SDK and generate firmware image file - Update firmware on edge device (Himax WiseEye2) - prerequisites: - - [Seeed Grove Vision AI V2 Module](https://www.seeedstudio.com/Grove-Vision-AI-Module-V2-p-5851.html) - - [OV5647-62 Camera module and included FPC cable](https://www.seeedstudio.com/OV5647-69-1-FOV-Camera-module-for-Raspberry-Pi-3B-4B-p-5484.html) + - Seeed Grove Vision AI V2 Module + - OV5647-62 Camera module and included FPC cable - An Windows based machine running an x86 archiecture. -author_primary: Chaodong Gong +author_primary: Chaodong Gong, Alex Su, Kieran Hejmadi ### Tags skilllevels: Beginner diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/example-picture.png b/content/learning-paths/microcontrollers/yolo-on-himax/example-picture.png deleted file mode 100644 index c69844bed44b65c7f5bc6cf511f93987fdcd7b95..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 63167 zcmeFa2UL^U+6EeXMMVUZIs+pJ3K&D^keLz00^~3ugw9BmUWCvCWE@9n0!I-cw2Yt$ zBoKrEAw)o=Nl9XeA@m-4?}T>aIsboV=3oC^_ny1%x@+CD+#$)E@7wuy`QH7O=Y4nB z>)aazoVk7D)(ybEeE`5d;RCQYy#Laz>(`zC_7n8REi;pUoY;RJAS?&30sua~fdN06 z{`ifJt=%_Yj{SGJi$p#6Z~A|E7hZR*QAlB>1>rL=K-jpj zv-gDbIk$h(py+Yc+ z$2;gtTVKkT9-qAL3x^5cZG=x501EIEz!dPKkp6$Q{4t+?IRJppDgbcc?|&R~!2$r( z#{j_j?mv!w_d5V^`ZoZeob}*tz}7u}=WNar^)7=pWzx 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F{|7oIF?Rp} literal 0 HcmV?d00001 diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md index 8b23cb6bf1..21ccca5c92 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md @@ -1,10 +1,60 @@ --- -title: PLACEHOLDER STEP TITLE 1 +title: Set Up Environment weight: 2 ### FIXED, DO NOT MODIFY layout: learningpathall --- -## PLACEHOLDER HEADER -YOUR CONTENT GOES HERE +## Set up the development environment + +### Step 2.1. Install Ubuntu 22.04 + +Himax SDK needs to be compiled in a Linux environment. If you use a Windows computer, it is recommended to install WSL, by searching Ubuntu 22.04.3 LTS in Microsoft store. This learning path has been validated on Ubuntu 22.04 LTS. However, we expect other linux distributions to work. + +### Step 2.2. (Optional) Install Microsoft VS Code + +This is only optional. You can use any text editor to view/change code. By typing “wsl” in VS Code terminal, you can switch to Linux environment. + +### Step 2.3. Install python 3 + +Go to website python.org to download and install. +Verify python is installed by +python3 --version +You should see an output like the following. +```bash +Python 3.12.7 +``` +### Step 2.4. Install python-pip + +```bash +sudo apt update +sudo apt install python3-pip +pip3 --version +``` + +If `pip3` is correctly installed you should see an output similar to tht following. + +```output +pip 24.2 from /pip (python 3.12) +``` + +### Step 2.5. Install make + +You will need to install the make build tool in order to build the firmware in the following section. + +```bash +sudo apt update +sudo apt install make -y +``` + +### Step 2.6. Install ARM GNU toolchain +```bash +cd ~ +wget https://developer.arm.com/-/media/Files/downloads/gnu/13.2.rel1/binrel/arm-gnu-toolchain-13.2.rel1-x86_64-arm-none-eabi.tar.xz +tar -xvf arm-gnu-toolchain-13.2.rel1-x86_64-arm-none-eabi.tar.xz +export PATH="$HOME/arm-gnu-toolchain-13.2.Rel1-x86_64-arm-none-eabi/bin/:$PATH" +``` + +Please note: you may want to add the command to your `bashrc` file. This enables the Arm GNU toolchain to be easily accessed from any new terminal session. + diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md index f884b5592b..a07524ab24 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md @@ -1,13 +1,48 @@ --- -title: PLACEHOLDER STEP TITLE 2 +title: Build The Firmware weight: 3 ### FIXED, DO NOT MODIFY layout: learningpathall --- -## PLACEHOLDER HEADER OF SECOND STEP -YOUR CONTENT GOES HERE +## Build The Firmware -IMAGE HERE: -![example image alt-text#center](example-picture.png "Figure 1. Example image caption") +Next, we need to build an image that contains the embedded software (firmware). You will need to have the git version control system installed. Run the command below to verify that git is installed on your system. + +```bash +git --version +``` + +You should see output similar to that below. + +```output +git version 2.39.3 +``` + +If not, please follow the steps to install git on your system. + +### Step 3.1. Clone the project + +You will first need to recusively clone the Himax repository. This will also clone the necessary sub repos such as Arm CMSIS. + +```bash +git clone --recursive https://github.com/HimaxWiseEyePlus/Seeed_Grove_Vision_AI_Module_V2.git +cd Seeed_Grove_Vision_AI_Module_V2 +``` + +### Step 3.2. Compile the firmware + +```bash +cd EPII_CM55M_APP_S +make clean +make +``` + +### Step 3.3. Generate firmware image file + +```bash +cd ../we2_image_gen_local/ +cp ../EPII_CM55M_APP_S/obj_epii_evb_icv30_bdv10/gnu_epii_evb_WLCSP65/EPII_CM55M_gnu_epii_evb_WLCSP65_s.elf input_case1_secboot/ +./we2_local_image_gen project_case1_blp_wlcsp.json +``` diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md new file mode 100644 index 0000000000..1fd66134e5 --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md @@ -0,0 +1,33 @@ +--- +title: Flash Firmware +weight: 3 + +### FIXED, DO NOT MODIFY +layout: learningpathall +--- + +## Update The Firmware + +Update firmware in Windows environment by python code. + +### Step 4.1. Open ‘cmd’ over Seeed_Grove_Vision_AI_Module_V2-main. + +### Step 4.2. Install xmodem. + +Run the following command + +```python +pip install -r xmodem/requirements.txt +``` + +### Step 4.3. Connect the module to PC by USB cable. + +### Step 4.4. Flash the firmware by the following commands: + +```python +python xmodem\xmodem_send.py --port=[your COM number] --baudrate=921600 --protocol=xmodem --file=we2_image_gen_local\output_case1_sec_wlcsp\output.img +``` + + Note: For each project, the command might be slightly different. See the instructions on project pages for this command. + +After the firmware image burning is completed, the message "Do you want to end file transmission and reboot system? (y)" is displayed. Press the reset button on module to restart. diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md new file mode 100644 index 0000000000..6d88cad5a2 --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md @@ -0,0 +1,28 @@ +--- +title: Run and View Model Results +weight: 3 + +### FIXED, DO NOT MODIFY +layout: learningpathall +--- + + +### Step 5.1. Close the terminal session. + +### Step 5.2. Connect module to PC with USB cable. + +You will need to insert the FPC cable cable into the Grove Vision AI V2 module. Lift the dark grey latch on the connector and slide the connector in with the metal pins facing down. + +### Step 5.3. Download the Himax AI web toolkit. + +The Himax AI web toolkit enables a browser-based graphical user interface (GUI) where the live camera feed can be displayed. + +Download the Himax AI Web toolkit by clicking on this [link](https://github.com/HimaxWiseEyePlus/Seeed_Grove_Vision_AI_Module_V2/releases/download/v1.1/Himax_AI_web_toolkit.zip) + +Unzip the archived file and double click `index.html.`. This will open the GUI within your default browser. + +### Step 5.4. Connect to the Grove Vision AI + +Select 'Grove Vision AI(V2)` in the top-right hand corner and press connect button. + +![Himax web UI](./himax_web_ui.jpg) From b9dd8460a23551b05fa2bda9e34802815d337b74 Mon Sep 17 00:00:00 2001 From: Your Name Date: Fri, 1 Nov 2024 14:07:46 +0000 Subject: [PATCH 4/8] copied and validated steps from draft pdf --- .../microcontrollers/yolo-on-himax/_index.md | 3 +- .../yolo-on-himax/how-to-1.md | 34 +++++++++++++++--- .../yolo-on-himax/how-to-2.md | 12 +++++++ .../yolo-on-himax/how-to-3.md | 25 +++++++++---- .../yolo-on-himax/how-to-4.md | 2 +- .../yolo-on-himax/how-to-5.md | 30 ++++++++++++++++ .../yolo-on-himax/latched.jpg | Bin 0 -> 39516 bytes .../yolo-on-himax/unlatched.jpg | Bin 0 -> 52263 bytes 8 files changed, 93 insertions(+), 13 deletions(-) create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/latched.jpg create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/unlatched.jpg diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md index f9c722c3ff..a053eef311 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -13,7 +13,8 @@ learning_objectives: prerequisites: - Seeed Grove Vision AI V2 Module - OV5647-62 Camera module and included FPC cable - - An Windows based machine running an x86 archiecture. + - A USB-C cable + - An Linux-based PC on an x86 archiecture. author_primary: Chaodong Gong, Alex Su, Kieran Hejmadi diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md index 21ccca5c92..c2f0b496a0 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md @@ -8,9 +8,22 @@ layout: learningpathall ## Set up the development environment -### Step 2.1. Install Ubuntu 22.04 +### Step 2.1. Install Ubuntu -Himax SDK needs to be compiled in a Linux environment. If you use a Windows computer, it is recommended to install WSL, by searching Ubuntu 22.04.3 LTS in Microsoft store. This learning path has been validated on Ubuntu 22.04 LTS. However, we expect other linux distributions to work. +Himax SDK needs to be compiled in a Linux environment. If you use a Windows computer, it is recommended to install WSL, by searching Ubuntu 22.04.3 LTS in Microsoft store. This learning path has been validated on Ubuntu 22.04 LTS. However, we expect other linux distributions to work. To verify the Linux distribution you are using you can run the `cat /etc/*release*` command. + +```bash +cat /etc/*release* +``` +The top lines from the terminal output will show the distribution version. + +```output +DISTRIB_ID=Ubuntu +DISTRIB_RELEASE=22.04 +DISTRIB_CODENAME=jammy +DISTRIB_DESCRIPTION="Ubuntu 22.04.5 LTS" +... +``` ### Step 2.2. (Optional) Install Microsoft VS Code @@ -22,14 +35,14 @@ Go to website python.org to download and install. Verify python is installed by python3 --version You should see an output like the following. -```bash +```output Python 3.12.7 ``` ### Step 2.4. Install python-pip ```bash sudo apt update -sudo apt install python3-pip +sudo apt install python3-pip -y pip3 --version ``` @@ -48,7 +61,20 @@ sudo apt update sudo apt install make -y ``` +Successful installation of make will show the following when the `make --version` command is run. + +```output +$ make --version +GNU Make 4.3 +Built for x86_64-pc-linux-gnu +Copyright (C) 1988-2020 Free Software Foundation, Inc. +License GPLv3+: GNU GPL version 3 or later +This is free software: you are free to change and redistribute it. +There is NO WARRANTY, to the extent permitted by law. +``` + ### Step 2.6. Install ARM GNU toolchain + ```bash cd ~ wget https://developer.arm.com/-/media/Files/downloads/gnu/13.2.rel1/binrel/arm-gnu-toolchain-13.2.rel1-x86_64-arm-none-eabi.tar.xz diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md index a07524ab24..3d9dd57298 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md @@ -33,12 +33,15 @@ cd Seeed_Grove_Vision_AI_Module_V2 ### Step 3.2. Compile the firmware +The make build tool is used to compile the source code. This should take up around 2-3 minutes depending on the number of CPU cores available. + ```bash cd EPII_CM55M_APP_S make clean make ``` + ### Step 3.3. Generate firmware image file ```bash @@ -46,3 +49,12 @@ cd ../we2_image_gen_local/ cp ../EPII_CM55M_APP_S/obj_epii_evb_icv30_bdv10/gnu_epii_evb_WLCSP65/EPII_CM55M_gnu_epii_evb_WLCSP65_s.elf input_case1_secboot/ ./we2_local_image_gen project_case1_blp_wlcsp.json ``` + +Your terminal output should end with the following. + +```output +Output image: output_case1_sec_wlcsp/output.img +Output image: output_case1_sec_wlcsp/output.img + +IMAGE GEN DONE +``` diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md index 1fd66134e5..bbf1d2b72e 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md @@ -6,21 +6,32 @@ weight: 3 layout: learningpathall --- -## Update The Firmware +## Flash The Firmware -Update firmware in Windows environment by python code. +### Step 4.1. Install xmodem. -### Step 4.1. Open ‘cmd’ over Seeed_Grove_Vision_AI_Module_V2-main. - -### Step 4.2. Install xmodem. +Change the directory +```bash +cd $HOME/Seeed_Grove_Vision_AI_Module_V2 # If you cloned the repo to a different location replace $HOME with the path. +``` -Run the following command +`Xmodem` is a basic file transfer protocol. Run the following command to install the dependencies for xmodem. ```python pip install -r xmodem/requirements.txt ``` -### Step 4.3. Connect the module to PC by USB cable. +### Step 4.2. Connect the module to PC by USB cable. + +You will need to insert the FPC cable cable into the Grove Vision AI V2 module. Lift the dark grey latch on the connector as per the image below. + +![unlatched](./unlatched.jpg) + +Then, slide the FPC connector in with the metal pins facing down and close the dark grey latch to fasten the connector. + +![latched](./latched.jpg) + +Then connect the Groove Vision AI V2 Module to your computer via USB-C. ### Step 4.4. Flash the firmware by the following commands: diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md index 6d88cad5a2..b059ed6948 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md @@ -11,7 +11,7 @@ layout: learningpathall ### Step 5.2. Connect module to PC with USB cable. -You will need to insert the FPC cable cable into the Grove Vision AI V2 module. Lift the dark grey latch on the connector and slide the connector in with the metal pins facing down. + ### Step 5.3. Download the Himax AI web toolkit. diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md new file mode 100644 index 0000000000..c303ada772 --- /dev/null +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md @@ -0,0 +1,30 @@ +--- +title: (Optional) Try Different Models +weight: 5 + +### FIXED, DO NOT MODIFY +layout: learningpathall +--- + + +### Modify the makefile + +Change the directory to the where the makefile is located. + +```bash +cd $HOME/Seeed_Grove_Vision_AI_Module_V2/EPII_CM55M_APP_S/ # replace $HOME with the location of the project +``` + +Using a text editor, for example visual studio code or nano, modify the `APP_TYPE` field in the makefile from the default value of `allon_sensor_tflm` to one of the following. + + +|Parameter|Description| +|---|---| +|tflm_folov8_od|Object detection| +|tflm_folov8_pose|Pose detection| +|tflm_fd_fm|Face detection| + +Go back to the 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Install make +### Step 1.5. Install make You will need to install the make build tool in order to build the firmware in the following section. @@ -73,7 +73,7 @@ This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. ``` -### Step 2.6. Install ARM GNU toolchain +### Step 1.6. Install ARM GNU toolchain ```bash cd ~ diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md index 3d9dd57298..7b21f37c45 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md @@ -22,7 +22,7 @@ git version 2.39.3 If not, please follow the steps to install git on your system. -### Step 3.1. Clone the project +### Step 2.1. Clone the Himax project You will first need to recusively clone the Himax repository. This will also clone the necessary sub repos such as Arm CMSIS. @@ -31,7 +31,7 @@ git clone --recursive https://github.com/HimaxWiseEyePlus/Seeed_Grove_Vision_AI_ cd Seeed_Grove_Vision_AI_Module_V2 ``` -### Step 3.2. Compile the firmware +### Step 2.2. Compile the firmware The make build tool is used to compile the source code. This should take up around 2-3 minutes depending on the number of CPU cores available. @@ -42,7 +42,7 @@ make ``` -### Step 3.3. Generate firmware image file +### Step 2.3. Generate firmware image file ```bash cd ../we2_image_gen_local/ diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md index bbf1d2b72e..6a3713ba84 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md @@ -8,20 +8,17 @@ layout: learningpathall ## Flash The Firmware -### Step 4.1. Install xmodem. +### Step 3.1. Install xmodem. -Change the directory -```bash -cd $HOME/Seeed_Grove_Vision_AI_Module_V2 # If you cloned the repo to a different location replace $HOME with the path. -``` `Xmodem` is a basic file transfer protocol. Run the following command to install the dependencies for xmodem. -```python +```bash +cd $HOME/Seeed_Grove_Vision_AI_Module_V2 # If you cloned the repo to a different location replace $HOME with the path. pip install -r xmodem/requirements.txt ``` -### Step 4.2. Connect the module to PC by USB cable. +### Step 3.2. Connect the module to PC by USB cable. You will need to insert the FPC cable cable into the Grove Vision AI V2 module. Lift the dark grey latch on the connector as per the image below. @@ -33,7 +30,7 @@ Then, slide the FPC connector in with the metal pins facing down and close the d Then connect the Groove Vision AI V2 Module to your computer via USB-C. -### Step 4.4. Flash the firmware by the following commands: +### Step 3.4. Flash the firmware by the following commands: ```python python xmodem\xmodem_send.py --port=[your COM number] --baudrate=921600 --protocol=xmodem --file=we2_image_gen_local\output_case1_sec_wlcsp\output.img diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md index b059ed6948..c0fc075bb3 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md @@ -7,13 +7,11 @@ layout: learningpathall --- -### Step 5.1. Close the terminal session. +### Step 4.1. Connect module to PC with USB cable. -### Step 5.2. Connect module to PC with USB cable. +Exit the terminal session and connect the module to the PC via your USB-C cable. - - -### Step 5.3. Download the Himax AI web toolkit. +### Step 4.2. Download the Himax AI web toolkit. The Himax AI web toolkit enables a browser-based graphical user interface (GUI) where the live camera feed can be displayed. @@ -21,7 +19,7 @@ Download the Himax AI Web toolkit by clicking on this [link](https://github.com/ Unzip the archived file and double click `index.html.`. This will open the GUI within your default browser. -### Step 5.4. Connect to the Grove Vision AI +### Step 4.3. Connect to the Grove Vision AI Select 'Grove Vision AI(V2)` in the top-right hand corner and press connect button. diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md index c303ada772..cb6ad788f2 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-5.md @@ -15,16 +15,27 @@ Change the directory to the where the makefile is located. cd $HOME/Seeed_Grove_Vision_AI_Module_V2/EPII_CM55M_APP_S/ # replace $HOME with the location of the project ``` -Using a text editor, for example visual studio code or nano, modify the `APP_TYPE` field in the makefile from the default value of `allon_sensor_tflm` to one of the following. +Using a text editor, for example visual studio code or nano, modify the `APP_TYPE` field in the makefile from the default value of `allon_sensor_tflm` to one of the values in the table below -|Parameter|Description| +|APP_TYPE =|Description| |---|---| |tflm_folov8_od|Object detection| |tflm_folov8_pose|Pose detection| |tflm_fd_fm|Face detection| +### Regenerate the Firmware Image + Go back to the 'Build The Firmware' section and start from Step 3.2. to regenerate the firmware image. 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.../yolo-on-himax/reset_button.jpg | Bin 0 -> 54671 bytes 5 files changed, 23 insertions(+), 21 deletions(-) create mode 100644 content/learning-paths/microcontrollers/yolo-on-himax/reset_button.jpg diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md index 21e6533696..dd826d2782 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -6,7 +6,7 @@ minutes_to_complete: 90 who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U85. learning_objectives: - - Run Yolo model on off-the-shelf hardware based on the Arm Cortex-M55 and Ethos-U55 + - Run Yolo model on off-the-shelf hardware that uses the Arm Cortex-M55 and Ethos-U55 - Build Himax SDK and generate firmware image file - Update firmware on edge device (Himax WiseEye2) @@ -14,7 +14,7 @@ prerequisites: - Seeed Grove Vision AI V2 Module - OV5647-62 Camera module and included FPC cable - A USB-C cable - - An Linux-based PC on an x86 archiecture. + - A Linux/Windows-based PC on an x86 archiecture. author_primary: Chaodong Gong, Alex Su, Kieran Hejmadi @@ -26,7 +26,7 @@ armips: - Ethos U55 tools_software_languages: - Himax SDK - - bash scripting + - Bash operatingsystems: - Linux diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md b/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md index c4ae77cc92..b3b4ba6a6e 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_next-steps.md @@ -1,22 +1,17 @@ --- -next_step_guidance: PLACEHOLDER TEXT 1 +next_step_guidance: Navigate Machine Learning Development with Ethos-U processors -recommended_path: /learning-paths/PLACEHOLDER_CATEGORY/PLACEHOLDER_LEARNING_PATH/ +recommended_path: /learning-paths/microcontrollers/nav-mlek/ further_reading: - resource: - title: PLACEHOLDER MANUAL - link: PLACEHOLDER MANUAL LINK + title: Grove Vision AI Module V2 User Documentation + link: https://wiki.seeedstudio.com/grove_vision_ai_v2/ type: documentation - resource: - title: PLACEHOLDER BLOG - link: PLACEHOLDER BLOG LINK + title: WiseEye2 HX6538 processor blog (SoC powering Grove Vision AI Module V2) + link: https://www.himax.com.tw/products/wiseeye-ai-sensing/wiseeye2-ai-processor/ type: blog - - resource: - title: PLACEHOLDER GENERAL WEBSITE - link: PLACEHOLDER GENERAL WEBSITE LINK - type: website - # ================================================================================ # FIXED, DO NOT MODIFY diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md index 287372e6a0..b7ddb67739 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md @@ -10,7 +10,9 @@ layout: learningpathall ### Step 1.1. Install Ubuntu -This learning path has been tested on Ubuntu. If you use a Windows computer, it is recommended to install WSL, by searching Ubuntu 22.04.3 LTS in Microsoft store. This learning path has been validated on Ubuntu 22.04 LTS. However, we expect other linux distributions to work. To verify the Linux distribution you are using you can run the `cat /etc/*release*` command. +If you are running Windows on your host machine, we recommend using Ubuntu through Windows subsystem for Linux 2 (WSL2). Please see [this learning path](https://learn.arm.com/learning-paths/laptops-and-desktops/wsl2/setup/) for assistance + +This learning path has been validated on Ubuntu 22.04 LTS. However, we expect other linux distributions to work. To verify the Linux distribution you are using you can run the `cat /etc/*release*` command. ```bash cat /etc/*release* @@ -27,7 +29,7 @@ DISTRIB_DESCRIPTION="Ubuntu 22.04.5 LTS" ### Step 1.2. (Optional) Install Microsoft VS Code -This is only optional. You can use any text editor to view/change code. By typing “wsl” in VS Code terminal, you can switch to Linux environment. +This is only optional. You can use any text editor you are comfortable with to view or edit code. By typing “wsl” in VS Code terminal, you can switch to Linux environment. ### Step 1.3. Install python 3 diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md index 6a3713ba84..9beb5dd4cc 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md @@ -8,8 +8,9 @@ layout: learningpathall ## Flash The Firmware -### Step 3.1. Install xmodem. +Now that we have generated a firmware file on our local machine, we need to flash the microcontroller with this firmware. +### Step 3.1. Install xmodem. `Xmodem` is a basic file transfer protocol. Run the following command to install the dependencies for xmodem. @@ -28,14 +29,18 @@ Then, slide the FPC connector in with the metal pins facing down and close the d ![latched](./latched.jpg) -Then connect the Groove Vision AI V2 Module to your computer via USB-C. +Then connect the Groove Vision AI V2 Module to your computer via the USB-C cable. -### Step 3.4. Flash the firmware by the following commands: +### Step 3.4. Flash the firmware onto the moule. + +Run the python script below to flash the firmware. ```python python xmodem\xmodem_send.py --port=[your COM number] --baudrate=921600 --protocol=xmodem --file=we2_image_gen_local\output_case1_sec_wlcsp\output.img ``` - Note: For each project, the command might be slightly different. See the instructions on project pages for this command. + Note: If running one of the other example models demonstrated in '(Optional) Try Different Models', the command might be slightly different. + +After the firmware image burning is completed, the message "Do you want to end file transmission and reboot system? (y)" is displayed. Press the reset button on the module as per the image below. -After the firmware image burning is completed, the message "Do you want to end file transmission and reboot system? (y)" is displayed. Press the reset button on module to restart. +![reset button](./reset_button.jpg) diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/reset_button.jpg b/content/learning-paths/microcontrollers/yolo-on-himax/reset_button.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d6f7d8b82dcbedcb9b4519d9de2ef08219d58e55 GIT binary patch literal 54671 zcmb@tbyytT(l0uA2<|Qk1ovP;LkJKcKydfq3OV)zzz4RWGSkUH!Q9xCIzh@O7{S0Myg~TmS&z2>=_7 z6o7$3Xs8W+51PI0~g z063@|OaUPw!9=uwV>EOOK>mN{3knG2qy4AEeDwb=5zQ?h<9~2w5%z!a{OczF93G+Q z9LnG0lclxCr~k(PhZI%D z)xtlT003rr{}1Q?-?DH&+IU!_nBb`0(;anllukdQFuC2ovF|_F>fbo-AMCE9C6D6C zM_~@T{|#IHZ`jB4lP8L2_#b}jPwxNVRTP#2I(z+duYc&D8spoz=xU=<1Jq6r@BnB5 zlmKr~`2Sb>k3L<00082b0073f|KwR^002$l008yMfAU!K0RW;f0HAU5lcl@mzbf-j zn?bilwV1O~0D!;{03e$J0G=BEcSZkm?SG!d|AVZ|sB7p^a=M~6JAgC52EYtZ2DkvM z0emPV1P}lS0z@AnfG||^_=nI@KMZtqbPP-k6k%dx{zKR}*#9D&|Dq@VBHVun?|%sG zpQ|u1uuwm|C)iK^C;$H%Jg%WyGxcLPfaD2UCYl=t+H(Lp2^t0o+G9T&N|k6>|E}SG 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b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md index dd826d2782..61aa41bf0e 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -3,12 +3,12 @@ title: Run Yolo computer vision model on a Himax microcontroller minutes_to_complete: 90 -who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U85. +who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U55. learning_objectives: - - Run Yolo model on off-the-shelf hardware that uses the Arm Cortex-M55 and Ethos-U55 - - Build Himax SDK and generate firmware image file - - Update firmware on edge device (Himax WiseEye2) + - Run a you-only-look-once (Yolo) model using off-the-shelf hardware based on the Arm Cortex-M55 and Ethos-U55. + - Learn how to build the Himax SDK and generate firmware image file. + - Learn how to update firmware on edge device (Himax WiseEye2). prerequisites: - Seeed Grove Vision AI V2 Module @@ -29,6 +29,7 @@ tools_software_languages: - Bash operatingsystems: - Linux + - Windows ### FIXED, DO NOT MODIFY diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_review.md b/content/learning-paths/microcontrollers/yolo-on-himax/_review.md index 9b1bfb96fe..27a46683f1 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_review.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_review.md @@ -2,38 +2,13 @@ review: - questions: question: > - PLACEHOLDER QUESTION 1? + The Grove Vision AI V2 Module can run Yolov8 model in real time? answers: - - PLACEHOLDER ANSWER A - - PLACEHOLDER ANSWER B + - True + - False correct_answer: 1 explanation: > - PLACEHOLDER EXPLANATION 1 - - - questions: - question: > - PLACEHOLDER QUESTION 2? - answers: - - PLACEHOLDER ANSWER A - - PLACEHOLDER ANSWER B - - PLACEHOLDER ANSWER C - - PLACEHOLDER ANSWER D - correct_answer: 4 - explanation: > - PLACEHOLDER EXPLANATION 2 - - - questions: - question: > - PLACEHOLDER QUESTION 3? - answers: - - PLACEHOLDER ANSWER A - - PLACEHOLDER ANSWER B - - PLACEHOLDER ANSWER C - - PLACEHOLDER ANSWER D - correct_answer: 2 - explanation: > - PLACEHOLDER EXPLANATION 3 - + The Grove Vision AI V2 Module can run object detection in real time using the Cortex-M55 and Ethos-U55. # ================================================================================ diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md index c0fc075bb3..3a9f4e8a96 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md @@ -13,11 +13,11 @@ Exit the terminal session and connect the module to the PC via your USB-C cable. ### Step 4.2. Download the Himax AI web toolkit. -The Himax AI web toolkit enables a browser-based graphical user interface (GUI) where the live camera feed can be displayed. +The Himax AI web toolkit enables a browser-based graphical user interface (GUI) for the live camera feed. Download the Himax AI Web toolkit by clicking on this [link](https://github.com/HimaxWiseEyePlus/Seeed_Grove_Vision_AI_Module_V2/releases/download/v1.1/Himax_AI_web_toolkit.zip) -Unzip the archived file and double click `index.html.`. This will open the GUI within your default browser. +Unzip the archived file and double click `index.html`. This will open the GUI within your default browser. ### Step 4.3. Connect to the Grove Vision AI From 36bfaf39ad347d7c39fbeda7eff6ff23061c8eee Mon Sep 17 00:00:00 2001 From: Your Name Date: Mon, 4 Nov 2024 10:24:52 +0000 Subject: [PATCH 8/8] tidied up wording --- .../learning-paths/microcontrollers/yolo-on-himax/_index.md | 4 ++-- .../learning-paths/microcontrollers/yolo-on-himax/how-to-1.md | 4 ++-- .../learning-paths/microcontrollers/yolo-on-himax/how-to-2.md | 4 ++-- .../learning-paths/microcontrollers/yolo-on-himax/how-to-3.md | 4 ++-- .../learning-paths/microcontrollers/yolo-on-himax/how-to-4.md | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md index 61aa41bf0e..59d523d0b6 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/_index.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/_index.md @@ -1,12 +1,12 @@ --- -title: Run Yolo computer vision model on a Himax microcontroller +title: Run a Computer Vision Model on a Himax Microcontroller minutes_to_complete: 90 who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U55. learning_objectives: - - Run a you-only-look-once (Yolo) model using off-the-shelf hardware based on the Arm Cortex-M55 and Ethos-U55. + - Run a you-only-look-once (YOLO) computer vision model using off-the-shelf hardware based on the Arm Cortex-M55 and Ethos-U55. - Learn how to build the Himax SDK and generate firmware image file. - Learn how to update firmware on edge device (Himax WiseEye2). diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md index b7ddb67739..da46268655 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-1.md @@ -6,7 +6,7 @@ weight: 2 layout: learningpathall --- -## Set up the development environment +## Set up the Development Environment ### Step 1.1. Install Ubuntu @@ -27,7 +27,7 @@ DISTRIB_DESCRIPTION="Ubuntu 22.04.5 LTS" ... ``` -### Step 1.2. (Optional) Install Microsoft VS Code +### Step 1.2. (Optional) Install Microsoft Visual Studio Code This is only optional. You can use any text editor you are comfortable with to view or edit code. By typing “wsl” in VS Code terminal, you can switch to Linux environment. diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md index 7b21f37c45..388c390f06 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-2.md @@ -31,7 +31,7 @@ git clone --recursive https://github.com/HimaxWiseEyePlus/Seeed_Grove_Vision_AI_ cd Seeed_Grove_Vision_AI_Module_V2 ``` -### Step 2.2. Compile the firmware +### Step 2.2. Compile the Firmware The make build tool is used to compile the source code. This should take up around 2-3 minutes depending on the number of CPU cores available. @@ -42,7 +42,7 @@ make ``` -### Step 2.3. Generate firmware image file +### Step 2.3. Generate a Firmware Image ```bash cd ../we2_image_gen_local/ diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md index 9beb5dd4cc..b8fde69fd0 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-3.md @@ -1,12 +1,12 @@ --- -title: Flash Firmware +title: Flash Firmware onto the Microcontroller weight: 3 ### FIXED, DO NOT MODIFY layout: learningpathall --- -## Flash The Firmware +## Flash the Firmware Now that we have generated a firmware file on our local machine, we need to flash the microcontroller with this firmware. diff --git a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md index 3a9f4e8a96..2aa5632762 100644 --- a/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md +++ b/content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md @@ -21,6 +21,6 @@ Unzip the archived file and double click `index.html`. This will open the GUI wi ### Step 4.3. Connect to the Grove Vision AI -Select 'Grove Vision AI(V2)` in the top-right hand corner and press connect button. +Select 'Grove Vision AI(V2)' in the top-right hand corner and press connect button. ![Himax web UI](./himax_web_ui.jpg)