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  1. .devcontainer/devcontainer.json +33 -0
  2. .dockerignore +7 -0
  3. .gitattributes +1009 -0
  4. .github/ISSUE_TEMPLATE/bug_report.md +38 -0
  5. .github/ISSUE_TEMPLATE/feature_request.md +20 -0
  6. CODE_OF_CONDUCT.md +128 -0
  7. CONTRIBUTING.md +1 -0
  8. Dockerfile +10 -11
  9. Kaggle Output/V1.0.50/lipnet_v_1.0.50.ipynb +0 -0
  10. Kaggle Output/V1.0.50/model-checkpoint/checkpoint +2 -0
  11. Kaggle Output/V1.0.50/model-checkpoint/checkpoint.data-00000-of-00001 +3 -0
  12. Kaggle Output/V1.0.50/model-checkpoint/checkpoint.index +0 -0
  13. Kaggle Output/V1.0.50/models - checkpoint 50.zip +3 -0
  14. Kaggle Output/V1.50.96/Kaggle error while saving this notebook.png +3 -0
  15. Kaggle Output/V1.50.96/lipnet_v_1_50_96.ipynb +0 -0
  16. Kaggle Output/V1.50.96/model-checkpoint/checkpoint +2 -0
  17. Kaggle Output/V1.50.96/model-checkpoint/checkpoint.data-00000-of-00001 +3 -0
  18. Kaggle Output/V1.50.96/model-checkpoint/checkpoint.index +0 -0
  19. Kaggle Output/V1.50.96/models - checkpoint 96.zip +3 -0
  20. LICENSE +21 -0
  21. Notebooks/complete-2-models-with-detailed-accuracy-analysis.ipynb +0 -0
  22. Notebooks/project-phase-1-v1-2.ipynb +0 -0
  23. README.md +200 -14
  24. SECURITY.md +21 -0
  25. app.py +9 -0
  26. app/animation.gif +3 -0
  27. app/data/alignments/s1/bbaf2n.align +8 -0
  28. app/data/alignments/s1/bbaf3s.align +8 -0
  29. app/data/alignments/s1/bbaf4p.align +8 -0
  30. app/data/alignments/s1/bbaf5a.align +8 -0
  31. app/data/alignments/s1/bbal6n.align +8 -0
  32. app/data/alignments/s1/bbal7s.align +8 -0
  33. app/data/alignments/s1/bbal8p.align +8 -0
  34. app/data/alignments/s1/bbal9a.align +8 -0
  35. app/data/alignments/s1/bbas1s.align +8 -0
  36. app/data/alignments/s1/bbas2p.align +8 -0
  37. app/data/alignments/s1/bbas3a.align +8 -0
  38. app/data/alignments/s1/bbaszn.align +8 -0
  39. app/data/alignments/s1/bbaz4n.align +8 -0
  40. app/data/alignments/s1/bbaz5s.align +8 -0
  41. app/data/alignments/s1/bbaz6p.align +8 -0
  42. app/data/alignments/s1/bbaz7a.align +8 -0
  43. app/data/alignments/s1/bbbf6n.align +8 -0
  44. app/data/alignments/s1/bbbf7s.align +8 -0
  45. app/data/alignments/s1/bbbf8p.align +8 -0
  46. app/data/alignments/s1/bbbf9a.align +8 -0
  47. app/data/alignments/s1/bbbm1s.align +8 -0
  48. app/data/alignments/s1/bbbm2p.align +8 -0
  49. app/data/alignments/s1/bbbm3a.align +8 -0
  50. app/data/alignments/s1/bbbmzn.align +8 -0
.devcontainer/devcontainer.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "name": "Python 3",
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+ // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
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+ "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye",
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+ "customizations": {
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+ "codespaces": {
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+ "openFiles": [
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+ "README.md",
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+ "app/streamlitapp.py"
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+ ]
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+ },
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+ "vscode": {
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+ "settings": {},
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+ "extensions": [
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+ "ms-python.python",
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+ "ms-python.vscode-pylance"
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+ ]
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+ }
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+ },
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+ "updateContentCommand": "[ -f packages.txt ] && sudo apt update && sudo apt upgrade -y && sudo xargs apt install -y <packages.txt; [ -f requirements.txt ] && pip3 install --user -r requirements.txt; pip3 install --user streamlit; echo '✅ Packages installed and Requirements met'",
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+ "postAttachCommand": {
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+ "server": "streamlit run app/streamlitapp.py --server.enableCORS false --server.enableXsrfProtection false"
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+ },
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+ "portsAttributes": {
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+ "8501": {
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+ "label": "Application",
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+ "onAutoForward": "openPreview"
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+ }
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+ },
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+ "forwardPorts": [
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+ 8501
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+ ]
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+ }
.dockerignore ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ .git
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+ .gitignore
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+ __pycache__/
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+ *.pyc
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+ .DS_Store
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+ Notebooks/
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+ Kaggle Output/
.gitattributes CHANGED
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+ models/checkpoint.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
.github/ISSUE_TEMPLATE/bug_report.md ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ name: Bug report
3
+ about: Create a report to help us improve
4
+ title: ''
5
+ labels: ''
6
+ assignees: ''
7
+
8
+ ---
9
+
10
+ **Describe the bug**
11
+ A clear and concise description of what the bug is.
12
+
13
+ **To Reproduce**
14
+ Steps to reproduce the behavior:
15
+ 1. Go to '...'
16
+ 2. Click on '....'
17
+ 3. Scroll down to '....'
18
+ 4. See error
19
+
20
+ **Expected behavior**
21
+ A clear and concise description of what you expected to happen.
22
+
23
+ **Screenshots**
24
+ If applicable, add screenshots to help explain your problem.
25
+
26
+ **Desktop (please complete the following information):**
27
+ - OS: [e.g. iOS]
28
+ - Browser [e.g. chrome, safari]
29
+ - Version [e.g. 22]
30
+
31
+ **Smartphone (please complete the following information):**
32
+ - Device: [e.g. iPhone6]
33
+ - OS: [e.g. iOS8.1]
34
+ - Browser [e.g. stock browser, safari]
35
+ - Version [e.g. 22]
36
+
37
+ **Additional context**
38
+ Add any other context about the problem here.
.github/ISSUE_TEMPLATE/feature_request.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ name: Feature request
3
+ about: Suggest an idea for this project
4
+ title: ''
5
+ labels: ''
6
+ assignees: ''
7
+
8
+ ---
9
+
10
+ **Is your feature request related to a problem? Please describe.**
11
+ A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
12
+
13
+ **Describe the solution you'd like**
14
+ A clear and concise description of what you want to happen.
15
+
16
+ **Describe alternatives you've considered**
17
+ A clear and concise description of any alternative solutions or features you've considered.
18
+
19
+ **Additional context**
20
+ Add any other context or screenshots about the feature request here.
CODE_OF_CONDUCT.md ADDED
@@ -0,0 +1,128 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Contributor Covenant Code of Conduct
2
+
3
+ ## Our Pledge
4
+
5
+ We as members, contributors, and leaders pledge to make participation in our
6
+ community a harassment-free experience for everyone, regardless of age, body
7
+ size, visible or invisible disability, ethnicity, sex characteristics, gender
8
+ identity and expression, level of experience, education, socio-economic status,
9
+ nationality, personal appearance, race, religion, or sexual identity
10
+ and orientation.
11
+
12
+ We pledge to act and interact in ways that contribute to an open, welcoming,
13
+ diverse, inclusive, and healthy community.
14
+
15
+ ## Our Standards
16
+
17
+ Examples of behavior that contributes to a positive environment for our
18
+ community include:
19
+
20
+ * Demonstrating empathy and kindness toward other people
21
+ * Being respectful of differing opinions, viewpoints, and experiences
22
+ * Giving and gracefully accepting constructive feedback
23
+ * Accepting responsibility and apologizing to those affected by our mistakes,
24
+ and learning from the experience
25
+ * Focusing on what is best not just for us as individuals, but for the
26
+ overall community
27
+
28
+ Examples of unacceptable behavior include:
29
+
30
+ * The use of sexualized language or imagery, and sexual attention or
31
+ advances of any kind
32
+ * Trolling, insulting or derogatory comments, and personal or political attacks
33
+ * Public or private harassment
34
+ * Publishing others' private information, such as a physical or email
35
+ address, without their explicit permission
36
+ * Other conduct which could reasonably be considered inappropriate in a
37
+ professional setting
38
+
39
+ ## Enforcement Responsibilities
40
+
41
+ Community leaders are responsible for clarifying and enforcing our standards of
42
+ acceptable behavior and will take appropriate and fair corrective action in
43
+ response to any behavior that they deem inappropriate, threatening, offensive,
44
+ or harmful.
45
+
46
+ Community leaders have the right and responsibility to remove, edit, or reject
47
+ comments, commits, code, wiki edits, issues, and other contributions that are
48
+ not aligned to this Code of Conduct, and will communicate reasons for moderation
49
+ decisions when appropriate.
50
+
51
+ ## Scope
52
+
53
+ This Code of Conduct applies within all community spaces, and also applies when
54
+ an individual is officially representing the community in public spaces.
55
+ Examples of representing our community include using an official e-mail address,
56
+ posting via an official social media account, or acting as an appointed
57
+ representative at an online or offline event.
58
+
59
+ ## Enforcement
60
+
61
+ Instances of abusive, harassing, or otherwise unacceptable behavior may be
62
+ reported to the community leaders responsible for enforcement at
63
+ .
64
+ All complaints will be reviewed and investigated promptly and fairly.
65
+
66
+ All community leaders are obligated to respect the privacy and security of the
67
+ reporter of any incident.
68
+
69
+ ## Enforcement Guidelines
70
+
71
+ Community leaders will follow these Community Impact Guidelines in determining
72
+ the consequences for any action they deem in violation of this Code of Conduct:
73
+
74
+ ### 1. Correction
75
+
76
+ **Community Impact**: Use of inappropriate language or other behavior deemed
77
+ unprofessional or unwelcome in the community.
78
+
79
+ **Consequence**: A private, written warning from community leaders, providing
80
+ clarity around the nature of the violation and an explanation of why the
81
+ behavior was inappropriate. A public apology may be requested.
82
+
83
+ ### 2. Warning
84
+
85
+ **Community Impact**: A violation through a single incident or series
86
+ of actions.
87
+
88
+ **Consequence**: A warning with consequences for continued behavior. No
89
+ interaction with the people involved, including unsolicited interaction with
90
+ those enforcing the Code of Conduct, for a specified period of time. This
91
+ includes avoiding interactions in community spaces as well as external channels
92
+ like social media. Violating these terms may lead to a temporary or
93
+ permanent ban.
94
+
95
+ ### 3. Temporary Ban
96
+
97
+ **Community Impact**: A serious violation of community standards, including
98
+ sustained inappropriate behavior.
99
+
100
+ **Consequence**: A temporary ban from any sort of interaction or public
101
+ communication with the community for a specified period of time. No public or
102
+ private interaction with the people involved, including unsolicited interaction
103
+ with those enforcing the Code of Conduct, is allowed during this period.
104
+ Violating these terms may lead to a permanent ban.
105
+
106
+ ### 4. Permanent Ban
107
+
108
+ **Community Impact**: Demonstrating a pattern of violation of community
109
+ standards, including sustained inappropriate behavior, harassment of an
110
+ individual, or aggression toward or disparagement of classes of individuals.
111
+
112
+ **Consequence**: A permanent ban from any sort of public interaction within
113
+ the community.
114
+
115
+ ## Attribution
116
+
117
+ This Code of Conduct is adapted from the [Contributor Covenant][homepage],
118
+ version 2.0, available at
119
+ https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
120
+
121
+ Community Impact Guidelines were inspired by [Mozilla's code of conduct
122
+ enforcement ladder](https://github.com/mozilla/diversity).
123
+
124
+ [homepage]: https://www.contributor-covenant.org
125
+
126
+ For answers to common questions about this code of conduct, see the FAQ at
127
+ https://www.contributor-covenant.org/faq. Translations are available at
128
+ https://www.contributor-covenant.org/translations.
CONTRIBUTING.md ADDED
@@ -0,0 +1 @@
 
 
1
+ .
Dockerfile CHANGED
@@ -1,20 +1,19 @@
1
- FROM python:3.13.5-slim
 
 
 
2
 
3
  WORKDIR /app
4
 
5
- RUN apt-get update && apt-get install -y \
6
- build-essential \
7
- curl \
8
- git \
9
  && rm -rf /var/lib/apt/lists/*
10
 
11
- COPY requirements.txt ./
12
- COPY src/ ./src/
13
 
14
- RUN pip3 install -r requirements.txt
15
 
16
  EXPOSE 8501
17
 
18
- HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
19
-
20
- ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
 
1
+ FROM python:3.10-slim
2
+
3
+ ENV PYTHONDONTWRITEBYTECODE=1 \
4
+ PYTHONUNBUFFERED=1
5
 
6
  WORKDIR /app
7
 
8
+ RUN apt-get update \
9
+ && apt-get install -y --no-install-recommends ffmpeg \
 
 
10
  && rm -rf /var/lib/apt/lists/*
11
 
12
+ COPY requirements.txt .
13
+ RUN pip install --no-cache-dir -r requirements.txt
14
 
15
+ COPY . .
16
 
17
  EXPOSE 8501
18
 
19
+ CMD ["streamlit", "run", "app/streamlitapp.py", "--server.address=0.0.0.0", "--server.port=8501"]
 
 
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LICENSE ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) 2023 Monkey-D-Coders
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
8
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
11
+
12
+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
14
+
15
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21
+ SOFTWARE.
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README.md CHANGED
@@ -1,19 +1,205 @@
 
 
 
 
 
 
 
 
 
 
1
  ---
2
- title: LipReader
3
- emoji: 🚀
4
- colorFrom: red
5
- colorTo: red
6
- sdk: docker
7
- app_port: 8501
8
- tags:
9
- - streamlit
10
- pinned: false
11
- short_description: Streamlit template space
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
- # Welcome to Streamlit!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
 
16
- Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
17
 
18
- If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
19
- forums](https://discuss.streamlit.io).
 
1
+ # CS550: Machine Learning - Final Project
2
+
3
+ **Indian Institute of Technology, Bhilai**
4
+
5
+ ## Advance Lipreading (Sentence-Level)
6
+
7
+ - **Project GitHub Link:** [https://github.com/Antoniocolapso/Lip-Reader](https://github.com/Antoniocolapso/Lip-Reader)
8
+
9
+ ### AUTHOR: **Omm Prakash Sahoo (12141190)**
10
+
11
  ---
12
+
13
+ ## Table of Contents
14
+
15
+ 1. [Introduction](#introduction)
16
+ 2. [Dataset](#dataset)
17
+ 3. [Data Augmentation](#data-augmentation)
18
+ 4. [Data Pipeline](#data-pipeline)
19
+ 5. [Deep Neural Network Architecture](#deep-neural-network-architecture)
20
+ 6. [Model Training](#model-training)
21
+ 7. [Model Performance](#model-performance)
22
+ 8. [Accuracy Analysis](#accuracy-analysis)
23
+ 9. [Cherry on Top](#cherry-on-top)
24
+ 10. [App Development](#app-development)
25
+ - [Video Selection Bar](#video-selection-bar)
26
+ - [Left Vertical Drawer](#left-vertical-drawer)
27
+ - [Video Preview](#video-preview)
28
+ - [What Your Model Actually Takes as Input](#what-your-model-actually-takes-as-input)
29
+ - [Output / Prediction](#output--prediction)
30
+ - [App UI](#app-ui)
31
+ 11. [Tasks Done In Final Submission](#tasks-done-in-final-submission)
32
+ 12. [Conclusion](#conclusion)
33
+ 13. [Individual Contribution to the Project](#individual-contribution-to-the-project)
34
+
35
  ---
36
 
37
+ ## Introduction
38
+
39
+ Lip Reading is a fascinating project aiming to predict sentences from input video data without using audio information. In this Final Submission report, we provide an overview of the project, the dataset used, data preprocessing steps, and all the steps in designing and training the deep neural network. Additionally, we present a brief overview of our developed app.
40
+
41
+ ## Dataset
42
+
43
+ The project uses the Grid corpus, which includes 1000 short videos and corresponding alignment files for 34 individuals, totaling 34000 videos and alignments, comprising 18 men and 16 women.
44
+
45
+ **Links:**
46
+ - Research Paper: [https://arxiv.org/abs/1611.01599](https://arxiv.org/abs/1611.01599)
47
+ - Dataset: [http://spandh.dcs.shef.ac.uk/gridcorpus](http://spandh.dcs.shef.ac.uk/gridcorpus)
48
+
49
+ ## Data Augmentation
50
+
51
+ ### Video Preprocessing
52
+ - Extract 75 uniform frames from every video.
53
+ - Convert each frame to grayscale.
54
+ - Crop only the mouth region from each frame manually.
55
+ - Standardize the data.
56
+
57
+ ### Unique Character to Integer Encoding
58
+ - Map each character to an integer.
59
+ - Encode vocabularies to their respective indices.
60
+ - Replace characters not in the vocabulary with an empty string.
61
+
62
+ ### Decoding
63
+ - Decoding is done by returning the corresponding character for each integer value.
64
+
65
+ ### Alignment Preprocessing
66
+ - Alignments contain words corresponding to time stamps.
67
+ - Words are encoded in the same way as unique character to integer encoding, considering silence as a space in between.
68
+
69
+ ## Data Pipeline
70
+ - Select 500 random videos from each of the 34 folders.
71
+ - Use 450 videos for training and 50 videos for validation.
72
+ - Perform the specified preprocessing.
73
+ - Add a prefetching step to the dataset for optimized performance.
74
+
75
+ ## Deep Neural Network Architecture
76
+
77
+ After researching and training several models, we have selected the current best model for phase one of submission and for the final submission.
78
+
79
+ ![Model Architecture](app/photos/model.png)
80
+
81
+ ## Model Training
82
+ - Utilizing the CTC loss function.
83
+ - Implementing a learning rate scheduler.
84
+ - Periodically saving the model.
85
+
86
+ ## Model Performance
87
+
88
+ On epoch 1:
89
+ - Original: bin white at t two now
90
+ - Prediction: le e e e e eo
91
+
92
+ On epoch 50:
93
+ - Original: bin blue by s six please
94
+ - Prediction: bin blue by six please
95
+
96
+ On epoch 96:
97
+ - Original: place green in d five soon
98
+ - Prediction: place green in d five soon
99
+
100
+ ## Accuracy Analysis
101
+
102
+ We used the standard levenshtein-distance algorithm to evaluate word and sentence accuracy of both of our models.
103
+
104
+ **Accuracy of Model submitted for phase 1:**
105
+ - Mean Word Error Rate: 14.40%
106
+ - Mean Sentence Error Rate: 6.06%
107
+ - Word-level Accuracy: 85.6%
108
+ - Sentence-level Accuracy: 93.94%
109
+
110
+ **Accuracy of Model submitted for Final Submission:**
111
+ - Mean Word Error Rate: 1.77%
112
+ - Mean Sentence Error Rate: 0.67%
113
+ - Word-level Accuracy: 98.23%
114
+ - Sentence-level Accuracy: 99.33%
115
+
116
+ **Cherry on Top:**
117
+ Our model is capable enough to predict sentences from given Video (i.e., without any audio) almost in real-time while combined with our app.
118
+
119
+ ## How Did We Achieve Such Accuracy
120
+
121
+ We trained our model on 34 individual people with different skin tones, different accents, different genders, and with sentences comprising most random words possible, making our model robust enough to predict on any video. Our optimization at different levels not only decreased the training time from 12 hours for 500 videos to 9 hours for 1000 videos, which is almost 2.7x faster training speed, but also our unique encoding and decoding technique made predictions fast enough to predict over a given video almost in real time.
122
+
123
+ ## App Development
124
+
125
+ **NeuroSync Lipscape:** An app that synchronizes sentence predictions with your lip movement by harnessing the power of neural networks.
126
+
127
+ ### App Contents
128
+
129
+ #### Video Selection Bar
130
+ ![Video Selection Bar](app/photos/bar.png)
131
+
132
+ By this bar, you can select to predict a sentence on an existing video or upload* your own video on which you want to predict a sentence.
133
+
134
+ #### Left Vertical Drawer
135
+ For now, it is just showcasing the app and its description, but later we will make it more functional, giving it more functionality like choosing your model to predict or it will be open for integration with other apps and also act as a nav-bar for our app. You can find this at the top left part of the app.
136
+
137
+ #### Video Preview
138
+ In this tab, there will be a preview of the video that you have selected/uploaded*. In this section, to make sure we can process videos with any extensions, we are converting that to MP4 format. You can find this at the middle left part of the app.
139
+
140
+ ![Original Video](app/photos/ogvid.png)
141
+
142
+ #### What Your Model Actually Takes as Input
143
+ In this section, we have made users visualize the model input by animating the 75 preprocessed images to a GIF with 10 frames per second. You can find this at the middle right part of the app.
144
+
145
+ ![Model Input Visualization](app/photos/gif.png)
146
+
147
+ #### Output / Prediction
148
+ In this section, we have shown raw model output as a tensor and along with decoded sentence corresponding to that tensor. You can find this at the bottom right part of the app.
149
+
150
+ ![Model Output](app/photos/op.png)
151
+
152
+ ### App UI
153
+ This is the complete UI of our current developed app:
154
+
155
+ ![App UI](app/photos/app.png)
156
+
157
+ ## Deployment
158
+
159
+ ### Local (Streamlit)
160
+ 1. Install dependencies:
161
+ ```bash
162
+ pip install -r requirements.txt
163
+ ```
164
+ 2. Run the app:
165
+ ```bash
166
+ streamlit run app/streamlitapp.py
167
+ ```
168
+
169
+ ### Docker
170
+ 1. Build the image:
171
+ ```bash
172
+ docker build -t lip-reader .
173
+ ```
174
+ 2. Run the container:
175
+ ```bash
176
+ docker run --rm -p 8501:8501 lip-reader
177
+ ```
178
+
179
+ ### Hugging Face Spaces (Streamlit)
180
+ 1. Create a new Space and select **Streamlit** as the SDK.
181
+ 2. Add the repository files (or connect the repo).
182
+ 3. Ensure `packages.txt` includes system packages (e.g., `ffmpeg`) and `requirements.txt` is present.
183
+ 4. Set the Space to use `app.py` as the entrypoint (default for Streamlit Spaces).
184
+ 5. Push/commit and the Space will build and deploy automatically.
185
+
186
+ ## Tasks Done In Final Submission
187
+ - Training model after fine-tuning it on 34000 videos (before it was only trained on 1000).
188
+ - Did accuracy analysis to know actual sreangth of model.
189
+ - Developed an full stack app to utilize the model in real life for hearing impared or deaf people.
190
+ - We did exlore possibility of predidcting on any length (possibly very big i.e. in Hours) and came with solution to
191
+ just classify each neighbour frame to one of 44 unique phonemes but unavalibility of proper dataset was major issue
192
+ for us and we did try to make our own dataset after which we did end up making a 10 minutes long video with
193
+ manual transcripting but due to our accent and low quality of datasets ( like touching or licking lips in between and
194
+ many more reasons) we could not achieve the accuracy near this model (47%).
195
+ - And also many phonemes in english are similar when pronouncing so that was also measure issue also we couldnot
196
+ completely decode the predicted sequence also.
197
+ - Due to above reasons and many more we decided to fine-tune and make it perfect previous model only which we
198
+ successfully did and planning to deploy app after giving it some more finishing touches.
199
+
200
+ ## Conclusion
201
+
202
+ Our lip reading project successfully achieved advanced accuracy levels, reducing mean word and sentence error rates to 1.77% and 0.67%, respectively. The model, trained on a diverse dataset, demonstrated robustness and adaptability. Real-time sentence predictions were realized through the innovative "NeuroSync Lipscape" app, offering accessibility for the hearing-impaired. The unique character-to-integer encoding and data preprocessing techniques significantly contributed to model performance. The proposed Bi-GRU LSTM feature extractor, manual crop for mouth region extraction, and learning rate scheduler enhanced the model's capabilities. The app's user-friendly interface integrates video preview, model input visualization, and detailed predictions. Our collaborative efforts, including individual contributions and constant model monitoring, ensured project success. Overall, our work not only advances lip reading accuracy but also translates research into a practical, real-time solution for improved accessibility.
203
 
 
204
 
205
+ [Project GitHub Link](https://github.com/Antoniocolapso/Lip-Reader)
 
SECURITY.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Security Policy
2
+
3
+ ## Supported Versions
4
+
5
+ Use this section to tell people about which versions of your project are
6
+ currently being supported with security updates.
7
+
8
+ | Version | Supported |
9
+ | ------- | ------------------ |
10
+ | 5.1.x | :white_check_mark: |
11
+ | 5.0.x | :x: |
12
+ | 4.0.x | :white_check_mark: |
13
+ | < 4.0 | :x: |
14
+
15
+ ## Reporting a Vulnerability
16
+
17
+ Use this section to tell people how to report a vulnerability.
18
+
19
+ Tell them where to go, how often they can expect to get an update on a
20
+ reported vulnerability, what to expect if the vulnerability is accepted or
21
+ declined, etc.
app.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ from __future__ import annotations
2
+
3
+ import sys
4
+ from pathlib import Path
5
+
6
+ APP_DIR = Path(__file__).resolve().parent / "app"
7
+ sys.path.insert(0, str(APP_DIR))
8
+
9
+ import streamlitapp # noqa: F401 # Streamlit runs the module top-level code.
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4
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5
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6
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7
+ 46250 52250 now
8
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app/data/alignments/s1/bbbf7s.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 15500 sil
2
+ 15500 21250 bin
3
+ 21250 27750 blue
4
+ 27750 32250 by
5
+ 32250 35500 f
6
+ 35500 44500 seven
7
+ 44500 51000 soon
8
+ 51000 74500 sil
app/data/alignments/s1/bbbf8p.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 4000 sil
2
+ 4000 9250 bin
3
+ 9250 14750 blue
4
+ 14750 18000 by
5
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6
+ 22000 25250 eight
7
+ 25250 35750 please
8
+ 35750 74500 sil
app/data/alignments/s1/bbbf9a.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 22000 sil
2
+ 22000 27250 bin
3
+ 27250 31500 blue
4
+ 31500 35250 by
5
+ 35250 39500 f
6
+ 39500 45000 nine
7
+ 45000 54000 again
8
+ 54000 74500 sil
app/data/alignments/s1/bbbm1s.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 14500 sil
2
+ 14500 19500 bin
3
+ 19500 24500 blue
4
+ 24500 28000 by
5
+ 28000 31750 m
6
+ 31750 35750 one
7
+ 35750 45000 soon
8
+ 45000 74500 sil
app/data/alignments/s1/bbbm2p.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 17750 sil
2
+ 17750 23000 bin
3
+ 23000 30250 blue
4
+ 30250 34750 by
5
+ 34750 39250 m
6
+ 39250 45000 two
7
+ 45000 55500 please
8
+ 55500 74500 sil
app/data/alignments/s1/bbbm3a.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 23250 sil
2
+ 23250 29250 bin
3
+ 29250 33500 blue
4
+ 33500 43000 by
5
+ 43000 47500 m
6
+ 47500 54250 three
7
+ 54250 62750 again
8
+ 62750 74500 sil
app/data/alignments/s1/bbbmzn.align ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 0 21500 sil
2
+ 21500 26250 bin
3
+ 26250 32500 blue
4
+ 32500 36000 by
5
+ 36000 40500 m
6
+ 40500 49500 zero
7
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8
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