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z2$&yOMNNzNFOGZ%@g(Pm`2TDg*rz4ZMzJFc%40 zFlK^Qeh$&`$w+sC)NMIhXz$07rJonbd<^tGHuEZgmmwf}hI3=f3l{@4L3=UX_1;yP z7cTuXxTYp~2#q08<$7P##nF1t`N8t?kQ8oIdwaVjK&9powCiU+Abue{02EtzAGcf| zYFC&%BO)g5`uLOMS*5wz1vNDUp;buvOx3*7YDSCu_6hFlpnsOh*Mlo|9Sh5b+=r^( zym>(e*H4?ftn$J|1uaN}>>%x?%U|cP9ys${60Zoz_EW+6`38)aC`L4U-!hceUxowk z9XPZ5Ux%k0ofeGJ|C6H$cK3hX1pfaYfgbq3?Lhx;=)GH92_AJ!*iR)e=>tK}pD9Y0 IN*eqB4~G#boB#j- literal 0 HcmV?d00001 diff --git a/README.md b/README.md new file mode 100644 index 000000000..85ed7695a --- /dev/null +++ b/README.md @@ -0,0 +1,25 @@ +# intel-oneAPI + +#### Team Name - Dream Hack +#### Problem Statement - Object detection for autonomous vehicles +#### Team Leader Email - mansibansal7467@gmail.com + +## A Brief of the Prototype: +# UML diagram ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/Flowchart.png) + This section must include UML Daigrms and prototype description + +## Tech Stack: + The project aims towards the detection of two main things that have been the major contributors in the road accidents :- + 1) object detection= Our project detects the objects in front of the vehicles in a range of 10 metres to 40 metres. + 2)pothole detection= Our project detects the potholes in front of the vehicles in the range 5 metres to 6 metres with accuracy. + Other than this, our project can detect the object and vehicles in night and in fog which is the most suitable thing to avoid accidents. +**Clearly mentioning Intel® AI Analytics Toolkits, it's libraries and the SYCL/DCP++ Libraries used** + +## Step-by-Step Code Execution Instructions: + This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed + +## What I Learned: + 1) We learnt to interface the raspberry pi cam with the raspberry pi board. + 2) How to create a model using intel one API toolkit. + 3) How to detect the potholes and other objects using tensorflow embedding in raspberry pi cam. + 4) How to use LIDAR sensor for the detction of objects From dffd7b31129c301e1ceb039b5a1fa16fda64eba5 Mon Sep 17 00:00:00 2001 From: dark-king-001 Date: Thu, 8 Jun 2023 15:17:21 +0530 Subject: [PATCH 02/24] updated readme.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 85ed7695a..d04413e0b 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ **Clearly mentioning Intel® AI Analytics Toolkits, it's libraries and the SYCL/DCP++ Libraries used** ## Step-by-Step Code Execution Instructions: - This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed + This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed in the future ## What I Learned: 1) We learnt to interface the raspberry pi cam with the raspberry pi board. From 39709a47b6e3af987c0daa2eb98472189724b08c Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 15:54:58 +0530 Subject: [PATCH 03/24] updated readme.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d04413e0b..a91525805 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ **Clearly mentioning Intel® AI Analytics Toolkits, it's libraries and the SYCL/DCP++ Libraries used** ## Step-by-Step Code Execution Instructions: - This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed in the future + This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed. ## What I Learned: 1) We learnt to interface the raspberry pi cam with the raspberry pi board. From 2355f5c41e300a7ce5b76026c8870d3d6f32e368 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 16:24:25 +0530 Subject: [PATCH 04/24] updated readme.md --- README.md | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index a91525805..17c0d826e 100644 --- a/README.md +++ b/README.md @@ -6,14 +6,20 @@ ## A Brief of the Prototype: # UML diagram ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/Flowchart.png) - This section must include UML Daigrms and prototype description - -## Tech Stack: - The project aims towards the detection of two main things that have been the major contributors in the road accidents :- + The project aims towards the detection of two main things that have been the major contributors in the road accidents :- 1) object detection= Our project detects the objects in front of the vehicles in a range of 10 metres to 40 metres. 2)pothole detection= Our project detects the potholes in front of the vehicles in the range 5 metres to 6 metres with accuracy. Other than this, our project can detect the object and vehicles in night and in fog which is the most suitable thing to avoid accidents. -**Clearly mentioning Intel® AI Analytics Toolkits, it's libraries and the SYCL/DCP++ Libraries used** + +## Tech Stack: + +** +* [![Raspberry pi 4 board][Raspberry pi 4 board]] +* [![LIDAR sensor pro][LIDAR sensor pro]] +* [![Raspberry pi][Raspberry pi]] +* [![camera night vision][camera night vision]] +* [![Raspion os][Raspion os]] +** ## Step-by-Step Code Execution Instructions: This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed. From 3bac4a3d68c69ef1ae945070a52183fa58b8747a Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 16:29:48 +0530 Subject: [PATCH 05/24] updated --- README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index 17c0d826e..59ccc292a 100644 --- a/README.md +++ b/README.md @@ -12,14 +12,12 @@ Other than this, our project can detect the object and vehicles in night and in fog which is the most suitable thing to avoid accidents. ## Tech Stack: - -** +List of technologies used both in hardware and software * [![Raspberry pi 4 board][Raspberry pi 4 board]] * [![LIDAR sensor pro][LIDAR sensor pro]] * [![Raspberry pi][Raspberry pi]] * [![camera night vision][camera night vision]] * [![Raspion os][Raspion os]] -** ## Step-by-Step Code Execution Instructions: This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed. From 9feaa1afcee408282e922cf896269d35117aff6c Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 16:31:01 +0530 Subject: [PATCH 06/24] updated --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 59ccc292a..d87a9e321 100644 --- a/README.md +++ b/README.md @@ -13,11 +13,11 @@ ## Tech Stack: List of technologies used both in hardware and software -* [![Raspberry pi 4 board][Raspberry pi 4 board]] -* [![LIDAR sensor pro][LIDAR sensor pro]] -* [![Raspberry pi][Raspberry pi]] -* [![camera night vision][camera night vision]] -* [![Raspion os][Raspion os]] +* Raspberry pi 4 board +* LIDAR sensor pro +* Raspberry pi +* camera night vision +* Raspion os ## Step-by-Step Code Execution Instructions: This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed. From 96252ae56132d7ffa328187d8f644107c4b39f3c Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 19:16:59 +0530 Subject: [PATCH 07/24] Main script to live detect a pothole on screen --- main.py | 49 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 main.py diff --git a/main.py b/main.py new file mode 100644 index 000000000..c5e4bb0d8 --- /dev/null +++ b/main.py @@ -0,0 +1,49 @@ +import cv2 +from ultralyticsplus import YOLO, render_result +import time + +# load model +model = YOLO('keremberke/yolov8n-pothole-segmentation') + +# set model parameters +model.overrides['conf'] = 0.25 # NMS confidence threshold +model.overrides['iou'] = 0.45 # NMS IoU threshold +model.overrides['agnostic_nms'] = False # NMS class-agnostic +model.overrides['max_det'] = 1000 # maximum number of detections per image + +# Open the default camera +cap = cv2.VideoCapture(0) + +# Check if the camera is opened successfully +if not cap.isOpened(): + print("Failed to open the camera") + exit() + +while True: + # Read frame from the camera + ret, frame = cap.read() + + # Check if the frame is read successfully + if not ret: + print("Failed to capture frame") + break + + # # Convert the frame to grayscale + # gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA) + + # perform inference + results = model.predict(frame) + # observe results + print(results[0]) + # time.sleep(0.5) + + # Display the grayscale frame + cv2.imshow("Grayscale Frame", frame) + + # Exit if 'q' is pressed + if cv2.waitKey(1) == ord('q'): + break + +# Release the camera and close windows +cap.release() +cv2.destroyAllWindows() \ No newline at end of file From 436914baaa0dbc04ce887bedd3d92797fb7cf04a Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 21:11:46 +0530 Subject: [PATCH 08/24] removed unwanted time library --- main.py | 1 - 1 file changed, 1 deletion(-) diff --git a/main.py b/main.py index c5e4bb0d8..0f0f82871 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,5 @@ import cv2 from ultralyticsplus import YOLO, render_result -import time # load model model = YOLO('keremberke/yolov8n-pothole-segmentation') From 237f0ee7af4ab0369ba63acd73a5bb1c2b9c43f7 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 21:12:34 +0530 Subject: [PATCH 09/24] added setup for intel-oneAPI --- oneAPI_Setup.sh | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100755 oneAPI_Setup.sh diff --git a/oneAPI_Setup.sh b/oneAPI_Setup.sh new file mode 100755 index 000000000..e3764ef43 --- /dev/null +++ b/oneAPI_Setup.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +# Prerequisites for First-Time Users + +# Set up the repository. To do this, download the key to the system keyring: +wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null +# Add the signed entry to APT sources and configure the APT client to use the Intel repository: +echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list +# Update the packages list and repository index. +sudo apt update + + + + + + + +# APT Package Manager +sudo apt install intel-aikit +# Intel® AI Analytics Toolkit (version 2023.1.1) has been updated to include functional and security updates. Users should update to the latest version as it becomes available. From 982d09b982df098977421f555ab3cd1f886a778e Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Thu, 8 Jun 2023 21:13:00 +0530 Subject: [PATCH 10/24] added numactl for oneAPI implementation --- run.sh | 3 +++ 1 file changed, 3 insertions(+) create mode 100755 run.sh diff --git a/run.sh b/run.sh new file mode 100755 index 000000000..c41eb3c19 --- /dev/null +++ b/run.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +numactl --cpunodebind=0 --membind=0 python ./main.py \ No newline at end of file From 2f12a93a202b0a04f571cd8327983c872fbe307b Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 00:37:59 +0530 Subject: [PATCH 11/24] Modified readme.md --- README.md | 42 ++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 40 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d87a9e321..f206b2c60 100644 --- a/README.md +++ b/README.md @@ -18,12 +18,50 @@ List of technologies used both in hardware and software * Raspberry pi * camera night vision * Raspion os +* numactl ## Step-by-Step Code Execution Instructions: - This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed. - +Step 1: CLone the repository +```bash +git clone https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI object_detection && cd object_detection +``` + +Step 2: Install required libraries of Intel-openAPI +```bash +# APT Package Manager +sudo apt install intel-aikit +``` +For new Users: +Note: oneAPI.sh script does the installation work automatically +```bash +# Set up the repository. To do this, download the key to the system keyring: +wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null +# Add the signed entry to APT sources and configure the APT client to use the Intel repository: +echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list +# Update the packages list and repository index. +sudo apt update +``` +Step 3: Give run.sh execution permissions +```bash +chmod +x bash.sh +``` +Step 4: Execute run.sh +```bash +./run.sh +``` + ## What I Learned: 1) We learnt to interface the raspberry pi cam with the raspberry pi board. 2) How to create a model using intel one API toolkit. 3) How to detect the potholes and other objects using tensorflow embedding in raspberry pi cam. 4) How to use LIDAR sensor for the detction of objects + +Numactl is a standalone command-line utility that is part of the Linux operating system. It provides a set of commands to control memory allocation and process placement on NUMA systems. + +However, you can use Numactl in conjunction with Intel oneAPI to optimize memory access and resource allocation for applications developed using the oneAPI programming model. Here's how you can integrate them: + +Application Design: When designing your application with the oneAPI programming model, you can consider the NUMA architecture and memory layout. By understanding the NUMA topology of your system, you can strategically allocate and access memory to minimize latency and improve performance. + +Command Invocation: You can invoke Numactl commands within your application code or in the execution environment to set memory placement and process/thread affinity. For example, you can use system calls or execute shell commands from your application to invoke Numactl with the desired options. + +Resource Management: Intel oneAPI provides libraries and tools to manage resources and optimize performance for specific hardware architectures, such as CPUs, GPUs, and FPGAs. While Numactl focuses on NUMA-specific memory and process management, oneAPI tools can handle other aspects of resource management, such as task scheduling, workload distribution, and hardware-specific optimizations. \ No newline at end of file From 6ff872178d5264cf3bc1206347b419947791299c Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 00:38:45 +0530 Subject: [PATCH 12/24] modified --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f206b2c60..33fb70720 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ ## A Brief of the Prototype: # UML diagram ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/Flowchart.png) - The project aims towards the detection of two main things that have been the major contributors in the road accidents :- + The project aims towards the detection of two main things that have been the major contributors in the road accidents: 1) object detection= Our project detects the objects in front of the vehicles in a range of 10 metres to 40 metres. 2)pothole detection= Our project detects the potholes in front of the vehicles in the range 5 metres to 6 metres with accuracy. Other than this, our project can detect the object and vehicles in night and in fog which is the most suitable thing to avoid accidents. From 6e014792e3a9a0efab337204f55842b007d8f305 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 00:41:43 +0530 Subject: [PATCH 13/24] updated --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 33fb70720..ca5187aa0 100644 --- a/README.md +++ b/README.md @@ -19,6 +19,7 @@ List of technologies used both in hardware and software * camera night vision * Raspion os * numactl +* intel-oneAPI ## Step-by-Step Code Execution Instructions: Step 1: CLone the repository From 7729412d4f88f3e406832b842ae56777d81c1da5 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 14:26:49 +0530 Subject: [PATCH 14/24] Added video frames --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ca5187aa0..ff3ee96e9 100644 --- a/README.md +++ b/README.md @@ -65,4 +65,10 @@ Application Design: When designing your application with the oneAPI programming Command Invocation: You can invoke Numactl commands within your application code or in the execution environment to set memory placement and process/thread affinity. For example, you can use system calls or execute shell commands from your application to invoke Numactl with the desired options. -Resource Management: Intel oneAPI provides libraries and tools to manage resources and optimize performance for specific hardware architectures, such as CPUs, GPUs, and FPGAs. While Numactl focuses on NUMA-specific memory and process management, oneAPI tools can handle other aspects of resource management, such as task scheduling, workload distribution, and hardware-specific optimizations. \ No newline at end of file +Resource Management: Intel oneAPI provides libraries and tools to manage resources and optimize performance for specific hardware architectures, such as CPUs, GPUs, and FPGAs. While Numactl focuses on NUMA-specific memory and process management, oneAPI tools can handle other aspects of resource management, such as task scheduling, workload distribution, and hardware-specific optimizations. + +## Highlights +* video 1 + +* video 2 + \ No newline at end of file From 9102d60341b927755f92b596a99e0a5908eef125 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 14:27:50 +0530 Subject: [PATCH 15/24] updated bugs --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ff3ee96e9..a93f97b97 100644 --- a/README.md +++ b/README.md @@ -69,6 +69,10 @@ Resource Management: Intel oneAPI provides libraries and tools to manage resourc ## Highlights * video 1 +```html +``` * video 2 - \ No newline at end of file +```html + +``` \ No newline at end of file From cba5cb3fd7b048252f14cb36e6cea4e2fa503897 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 14:49:10 +0530 Subject: [PATCH 16/24] modified --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index a93f97b97..dc579f5ea 100644 --- a/README.md +++ b/README.md @@ -69,10 +69,11 @@ Resource Management: Intel oneAPI provides libraries and tools to manage resourc ## Highlights * video 1 -```html - +[](https://www.youtube.com/watch?v=Kj6hxT09CPg "Now in Android: 55") +``` + ``` * video 2 -```html - +```mp4 +https://www.youtube.com/watch?v=s-9vVI95zn8 ``` \ No newline at end of file From 17878f9d53bf7a4ed4e641e1183e306efb30df96 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 14:50:37 +0530 Subject: [PATCH 17/24] modified --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index dc579f5ea..63c666b3a 100644 --- a/README.md +++ b/README.md @@ -69,9 +69,8 @@ Resource Management: Intel oneAPI provides libraries and tools to manage resourc ## Highlights * video 1 -[](https://www.youtube.com/watch?v=Kj6hxT09CPg "Now in Android: 55") -``` - +```frame +https://www.youtube.com/watch?v=Kj6hxT09CPg ``` * video 2 ```mp4 From e49e9edad1acd81512e6eec7df4a8c37fc421b15 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 14:53:26 +0530 Subject: [PATCH 18/24] modified --- README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index 63c666b3a..fad1e9e90 100644 --- a/README.md +++ b/README.md @@ -69,9 +69,7 @@ Resource Management: Intel oneAPI provides libraries and tools to manage resourc ## Highlights * video 1 -```frame -https://www.youtube.com/watch?v=Kj6hxT09CPg -``` +[](https://www.youtube.com/watch?v=Kj6hxT09CPg "Now in Android: 55") * video 2 ```mp4 https://www.youtube.com/watch?v=s-9vVI95zn8 From 413d76d27312dc1b422a9bbc29fcca95fe23d09c Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 14:56:20 +0530 Subject: [PATCH 19/24] mdoified --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fad1e9e90..c9754d6ba 100644 --- a/README.md +++ b/README.md @@ -69,7 +69,7 @@ Resource Management: Intel oneAPI provides libraries and tools to manage resourc ## Highlights * video 1 -[](https://www.youtube.com/watch?v=Kj6hxT09CPg "Now in Android: 55") +[](https://www.youtube.com/watch?v=Kj6hxT09CPg "Now in Android: 55") * video 2 ```mp4 https://www.youtube.com/watch?v=s-9vVI95zn8 From c98e59a63ec3623b65555700dd62a30f8e6c035a Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 15:01:24 +0530 Subject: [PATCH 20/24] modified --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index c9754d6ba..938de2aef 100644 --- a/README.md +++ b/README.md @@ -69,8 +69,12 @@ Resource Management: Intel oneAPI provides libraries and tools to manage resourc ## Highlights * video 1 +```mp4 +https://www.youtube.com/watch?v=Kj6hxT09CPg +``` [](https://www.youtube.com/watch?v=Kj6hxT09CPg "Now in Android: 55") * video 2 ```mp4 https://www.youtube.com/watch?v=s-9vVI95zn8 -``` \ No newline at end of file +``` +[](https://www.youtube.com/watch?v=s-9vVI95zn8 "Now in Android: 55") \ No newline at end of file From 04170b588aa6f39dccfc79798bc1e118c86552d7 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 15:11:45 +0530 Subject: [PATCH 21/24] updated images --- README.md | 4 ++-- images/Components.jpg | Bin 0 -> 1492936 bytes Flowchart.png => images/Flowchart.png | Bin 3 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 images/Components.jpg rename Flowchart.png => images/Flowchart.png (100%) diff --git a/README.md b/README.md index 938de2aef..7472600c7 100644 --- a/README.md +++ b/README.md @@ -5,12 +5,12 @@ #### Team Leader Email - mansibansal7467@gmail.com ## A Brief of the Prototype: -# UML diagram ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/Flowchart.png) +# UML diagram ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/images/Flowchart.png) The project aims towards the detection of two main things that have been the major contributors in the road accidents: 1) object detection= Our project detects the objects in front of the vehicles in a range of 10 metres to 40 metres. 2)pothole detection= Our project detects the potholes in front of the vehicles in the range 5 metres to 6 metres with accuracy. Other than this, our project can detect the object and vehicles in night and in fog which is the most suitable thing to avoid accidents. - +# Components Used ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/images/Components.png) ## Tech Stack: List of technologies used both in hardware and software * Raspberry pi 4 board diff --git a/images/Components.jpg b/images/Components.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5e53c4193974a55d63aca8f653f33488fb5d3066 GIT binary patch literal 1492936 zcmb@tWmsHG(>6M|Lx2Q#26uN00cLOr?(RAhJOoQfAcGCTEx5Y}2n2T$+yfb40tDE2 z2=)zo@Ao{<|txdFHU0Du7X2IJus;3EkN{)=&O000s+bO08LUVw^^P#6z&FGEGLe|a9#(4b-c zofeM5wEyBv6z2Sw2OWilQE4Be?hU9&j{eWL9@4tL#r!+%APPSO5Gp><|L3lwtE&S5 zJY1QS#Dr1#2nvfx3yMn%N-+ruNsCEJi-`ePP$|#>7^qbGQj#cy^EVda7X)NR{v%lt zN`#z$aW)FGy!%H2R1yHkzxd!GgG3wvCh8{4FATs){6}I36hG#_I1q(NQ5aP)02m6R zCH=#X_Mj2`pKtY}=;;6ADip@}7muSbCLI57?V3;+>tFgT3gf{4BM;uc_z~(G`2X^B 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Fri, 9 Jun 2023 15:14:02 +0530 Subject: [PATCH 22/24] image updated --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7472600c7..e8ebdde2d 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ 1) object detection= Our project detects the objects in front of the vehicles in a range of 10 metres to 40 metres. 2)pothole detection= Our project detects the potholes in front of the vehicles in the range 5 metres to 6 metres with accuracy. Other than this, our project can detect the object and vehicles in night and in fog which is the most suitable thing to avoid accidents. -# Components Used ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/images/Components.png) +# Components Used ![image](https://github.com/mansi12340/object_detection_for_autonomous_vehicles_oneAPI/blob/main/images/Components.jpg) ## Tech Stack: List of technologies used both in hardware and software * Raspberry pi 4 board From 0d26d5082cf0b666dd755a174067ae80fef2c503 Mon Sep 17 00:00:00 2001 From: mansi12340 Date: Fri, 9 Jun 2023 15:23:21 +0530 Subject: [PATCH 23/24] added ppt --- ...INTEL oneAPI Hackathon Sample PPT.pptx.pdf | Bin 0 -> 1264808 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 ppt/2023-05-24T12_48_52.709Z-final INTEL oneAPI Hackathon Sample PPT.pptx.pdf diff --git a/ppt/2023-05-24T12_48_52.709Z-final INTEL oneAPI Hackathon Sample PPT.pptx.pdf 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