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Tusharb331 · Oct 23, 2024 · db3b774 · db3b774
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diff --git a/Crowd_Report.pdf b/Crowd_Report.pdf
diff --git a/Images/Crowd_Report.docx b/Images/Crowd_Report.docx
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diff --git a/README.md b/README.md
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+## ✔ REAL TIME HUMAN DETECTION & COUNTING
+
+- A tensorflow based `Faster RCNN inception v2` python model to detect and count humans in real time images, videos & camera.
+- Used pre-trained `frozen_inference_graph.pb` frozen graph to handle the detection.
+- Visualize the data using `Enumeration Plot` and `Avg. Accuracy Plot`.
+
+---
+
+### 📌REQUIREMENTS :
+
+- python 3
+- tkinter
+- messagebox
+- PIL
+- cv2
+- argparse
+- matplotlib.pyplot
+- numpy
+- time
+- os
+- tensorflow
+- fpdf
+
+---
+
+### 📌How this Script works :
+
+- User just need to download the file and run the main.py on their local system.
+- On the starting window of the application, user will be able to see START and EXIT option, using which user can start the application or exit from the application.
+- When user starts the application using START button, a new window will open, which allows user with options like, DETECT FROM IMAGE, DETECT FROM VIDEO or DETECT FROM CAMERA.
+- When user selects any of the first two option, he/she needs to select the respective files using SELECT button.
+- User can preview the selected file using PREVIEW button, and detect and count the humans using DETECT button.
+- And when user selects, the last option of detecting through camera, user need to open the Camera, using OPEN CAMERA button, As soon as camera opens, detection process will start.
+- After detection process gets completed or user manually completes it, two graph get plotted,
+  - 1.) Enumeration Plot(Human Count Vs. time) and
+  - 2.) Avg. Accuracy Plot(Avg. Accuracy Vs. time).
+- Along with this two plots, an option to generate crowd report also appears, On clicking on it, a crowd report in form of PDF is generated ans saved autmatically at the project file location.
+- In the crowd report genrated, there will be information like, What is Max Human Count, Max Accuracy, Max Avg. Accuracy, and also a two line status about crowd.
+
+### 📌Purrpose :
+
+- This scripts helps user to easily get the count of human through real time image, video or camera, and thereafter also analysis of crowd through crowd report.
+
+### 📌Compilation Steps :
+
+- Install all the required libraries.
+- After that download the code file, and run main.py on local system.
+- Then the script will start running and user can explore it by detecting the human and also getting the count of it.
+
+---
+
+### 📌SCREENSHOTS :
+
+<p align="center">
+  <img width = 1000 src="Screenshots/1.jpg" /><br>
+  <img width = 1000 src="Screenshots/2.jpg" /><br>
+</p>
+
+- #### Image:
+
+<p align="center">
+  <img width = 1000 src="Screenshots/3.jpg" /><br>
+  <img width = 1000 src="Screenshots/4.jpg" /><br>
+  <img width = 1000 src="Screenshots/5.jpg" /><br>
+  <img width = 1000 src="Screenshots/6.jpg" /><br>
+  <img width = 1000 src="Screenshots/7.jpg" /><br>
+  <img width = 1000 src="Screenshots/8.jpg" /><br>
+  <img width = 1000 src="Screenshots/9.jpg" /><br>
+  <img width = 1000 src="Screenshots/10.jpg" /><br>
+  <img width = 1000 src="Screenshots/11.jpg" /><br>
+  <img width = 1000 src="Screenshots/12.jpg" /><br>
+</p>
+
+- #### Video:
+
+<p align="center">
+  <img width = 1000 src="Screenshots/13.jpg" /><br>
+  <img width = 1000 src="Screenshots/14.jpg" /><br>
+  <img width = 1000 src="Screenshots/15.jpg" /><br>
+  <img width = 1000 src="Screenshots/16.jpg" /><br>
+  <img width = 1000 src="Screenshots/17.jpg" /><br>
+</p>
+
+- #### Camera:
+
+<p align="center">
+  <img width = 1000 src="Screenshots/18.jpg" /><br>
+  <img width = 1000 src="Screenshots/19.jpg" /><br>
+  <img width = 1000 src="Screenshots/20.jpg" /><br>
+  <img width = 1000 src="Screenshots/21.jpg" /><br>
+  <img width = 1000 src="Screenshots/22.jpg" /><br>
+  <img width = 1000 src="Screenshots/23.jpg" /><br>
+</p>
+
+---
diff --git a/Sample Images and Videos/Screenshot_20210918-145120_Chrome.jpg b/Sample Images and Videos/Screenshot_20210918-145120_Chrome.jpg
diff --git a/Sample Images and Videos/Screenshot_20210918-145240_Chrome.jpg b/Sample Images and Videos/Screenshot_20210918-145240_Chrome.jpg
diff --git a/Sample Images and Videos/Screenshot_20210918-145710_Chrome.jpg b/Sample Images and Videos/Screenshot_20210918-145710_Chrome.jpg
diff --git a/Sample Images and Videos/img1.jpg b/Sample Images and Videos/img1.jpg
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diff --git a/Sample Images and Videos/vid.webm b/Sample Images and Videos/vid.webm
diff --git a/Sample Images and Videos/vid1.mp4 b/Sample Images and Videos/vid1.mp4
diff --git a/Sample Images and Videos/vid2.mp4 b/Sample Images and Videos/vid2.mp4
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diff --git a/Screenshots/1.jpg b/Screenshots/1.jpg
diff --git a/Screenshots/10.jpg b/Screenshots/10.jpg
diff --git a/Screenshots/11.jpg b/Screenshots/11.jpg
diff --git a/Screenshots/12.jpg b/Screenshots/12.jpg
diff --git a/Screenshots/13.jpg b/Screenshots/13.jpg
diff --git a/Screenshots/14.jpg b/Screenshots/14.jpg
diff --git a/Screenshots/15.jpg b/Screenshots/15.jpg
diff --git a/Screenshots/16.jpg b/Screenshots/16.jpg
diff --git a/Screenshots/17.jpg b/Screenshots/17.jpg
diff --git a/Screenshots/18.jpg b/Screenshots/18.jpg
diff --git a/Screenshots/19.jpg b/Screenshots/19.jpg
diff --git a/Screenshots/2.jpg b/Screenshots/2.jpg
diff --git a/Screenshots/20.jpg b/Screenshots/20.jpg
diff --git a/Screenshots/21.jpg b/Screenshots/21.jpg
diff --git a/Screenshots/22.jpg b/Screenshots/22.jpg
diff --git a/Screenshots/23.jpg b/Screenshots/23.jpg
diff --git a/Screenshots/3.jpg b/Screenshots/3.jpg
diff --git a/Screenshots/4.jpg b/Screenshots/4.jpg
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diff --git a/Screenshots/8.jpg b/Screenshots/8.jpg
diff --git a/Screenshots/9.jpg b/Screenshots/9.jpg
diff --git a/frozen_inference_graph.pb b/frozen_inference_graph.pb