add demo sample

Dockerfile

@@ -32,11 +32,6 @@ WORKDIR $HOME/yolov-app
 COPY --chown=user --from=build-step /yolov-app/build ./build
 COPY --chown=user . $HOME/yolov-app
 
-#RUN cp /yolov-app/public/uploads/cafe_fall.mp4  /yolov-app/build/static/cafe_fall.mp4 
-#RUN cp /yolov-app/public/uploads/kitchen.mp4  /yolov-app/build/static/kitchen.mp4 
-#RUN cp /yolov-app/public/uploads/skate.mp4  /yolov-app/build/static/skate.mp4 
-#RUN cp /yolov-app/public/uploads/slip.mp4  /yolov-app/build/static/slip.mp4 
-
 
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
@@ -55,13 +50,14 @@ RUN gdown https://drive.google.com/file/d/1lZNim3Sl_dQN6gcyEvddRLeijM6v-pO5/view
 #cafe_fall.mp4 
 RUN gdown https://drive.google.com/file/d/1Ru6ARgQOtshVgSUosFiH7GFRyRM-_R5U/view?usp=sharing --fuzzy -O build/static/
 #skate.mp4
+RUN gdown https://drive.google.com/file/d/1Md80GemqcuWhVDKXftNNt6owCQQQlWxi/view?usp=sharing --fuzzy -O build/static/
+#Sample.png
 
 EXPOSE 5000
 EXPOSE 3000
 EXPOSE 7860
 
 RUN mkdir -p ~/sg_logs && chmod -R 777 ~/sg_logs
-#RUN mkdir -p /sg_logs && chmod -R 777 /sg_logs
 RUN mkdir -p $HOME/sg_logs && chmod -R 777 $HOME/sg_logs
 
 WORKDIR $HOME/yolov-app

public/index.html

@@ -51,10 +51,13 @@
    <div class="offcanvas offcanvas-top" tabindex="-1" id="offcanvasTop" aria-labelledby="offcanvasTopLabel" style="background-color: #0b0b0bcf">
      <div class="offcanvas-header">
        <h5 id="offcanvasTopLabel">Introduction on experiment</h5>
+
        <button type="button" class="btn-close text-reset" data-bs-dismiss="offcanvas" aria-label="Close"></button>
      </div>
      <div class="offcanvas-body">
+      
       <h2 style="color: #FEFBEA"> Introduction on experiment </h2>
+      <img src="{{ url_for('static', filename='Sample.png') }}" ,width="240" height="240">
       <ol>
          <li style="color: #FEFBEA"><b style="color: #FEFBEA"> Experimentation on using YOLO-NAS model(s-size) to do fall recognition. The model is trained on images of various scenarios of people falling or have fallen.</b></li>
          <li style="color: #FEFBEA"><b style="color: #FEFBEA">Deepsort alogrithm is use to track falls. There will be an id number next to the classification label "FALL DETECTED" and confidence in prediction </b></li>