updated dependency list

1. Object Detection Tests:

   - These tests are run using the `mvn test` command. They focus on edge cases and the precision of data structures like 'Point', 'objectSet', and 'boundingBox'.

2. YOLO Tests:

   - Navigate to the YOLO testing directory and compile the `YOLOTest` class. This will execute tests for the YOLO object detection framework, outputting bounding boxes on images and generating corresponding CSV files for verification.

   Testing Commands:

    `cd path/to/yolo_test_directory`

    `javac YOLOTest.java`

    `java YOLOTest`

    This will compare the output with provided baseline image (`KeyFrame_0060.csv`) to verify accuracy and reproducibility.

Execution:

----------

To compile and run the project:

        <maven.compiler.target>17</maven.compiler.target>

        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>

        <exec.mainClass>top.BackendJava</exec.mainClass>

        <!-- <exec.mainClass>yolo.YOLODetector</exec.mainClass> -->

    </properties>

    <build>

# Entry into System

Things that are true:

1. A student should be able to build the system, then press run, then open a localhost and see the video and the point cloud of each object

2. A student should also be able to choose between different object and get information (need interactive display)

3. The entry needs to do the entire workflow

    - get keyframes and featurepoints

    - get objects from keyframes

    - start object detection

    - finish object detection and update database

    - ping GUI server

    - GUI server pulls information and displays point cloud to user

TODO: function to process each frame within the ObjectSet

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server.port = 5555

#spring.data.mongodb.uri = mongodb+srv://zanem:<YXQiSFkSVqxPTs3M>@cluster0.axhv9kg.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0

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