From 88fb68506a727e64b15f7899f4dde305a22dfcaa Mon Sep 17 00:00:00 2001 From: vthonte Date: Sun, 23 Jun 2024 12:37:37 +0530 Subject: [PATCH 01/11] requirements-update --- Django Application/requirements.txt | 184 ++++++++++++++-------------- 1 file changed, 92 insertions(+), 92 deletions(-) diff --git a/Django Application/requirements.txt b/Django Application/requirements.txt index 467398f..781ccd8 100644 --- a/Django Application/requirements.txt +++ b/Django Application/requirements.txt @@ -1,101 +1,101 @@ -altair==4.1.0 -asgiref==3.2.7 +altair==5.3.0 +asgiref==3.8.1 astor==0.8.1 -attrs==19.3.0 -backcall==0.1.0 -base58==2.0.0 -bleach==3.1.4 -blinker==1.4 -cachetools==4.0.0 -certifi==2019.11.28 -chardet==3.0.4 -click==7.1.1 -cmake==3.16.3 -colorama==0.4.3 -cycler==0.10.0 -decorator==4.4.2 -defusedxml==0.6.0 -Django==3.0.5 -dlib==19.19.0 -docutils==0.15.2 -entrypoints==0.3 +attrs==23.2.0 +backcall==0.2.0 +base58==2.1.1 +bleach==6.1.0 +blinker==1.8.2 +cachetools==5.3.3 +certifi==2024.6.2 +chardet==5.2.0 +click==8.1.7 +cmake==3.29.6 +colorama==0.4.6 +cycler==0.12.1 +decorator==5.1.1 +defusedxml==0.7.1 +Django==5.0.6 +dlib +docutils==0.21.2 +entrypoints==0.4 enum-compat==0.0.3 -face-recognition==1.3.0 -face-recognition-models==0.3.0 -future==0.18.2 -google==2.0.3 -google-api-core==1.16.0 -google-api-python-client==1.8.0 -google-auth==1.12.0 -google-auth-httplib2==0.0.3 -googleapis-common-protos==1.51.0 -httplib2==0.17.0 -idna==2.9 -ipykernel==5.2.0 -ipython==7.13.0 -ipython-genutils==0.2.0 -ipywidgets==7.5.1 +face-recognition +face-recognition-models +future==1.0.0 +google==3.0.0 +google-api-core +google-api-python-client +google-auth==2.30.0 +google-auth-httplib2==0.2.0 +googleapis-common-protos==1.63.1 +httplib2==0.22.0 +idna==3.7 +ipykernel==6.29.4 +ipython +ipython-genutils +ipywidgets==8.1.3 jedi==0.16.0 -Jinja2==2.11.1 -jmespath==0.9.5 -json5==0.9.4 -jsonschema==3.2.0 -jupyter-client==6.1.2 -jupyter-core==4.6.3 -jupyterlab==2.0.1 -jupyterlab-server==1.0.7 -kiwisolver==1.1.0 -MarkupSafe==1.1.1 -matplotlib==3.2.1 -mistune==0.8.4 -nbconvert==5.6.1 -nbformat==5.0.4 -notebook==6.0.3 -numpy==1.18.2 -opencv-python==4.2.0.32 -packaging==20.3 -pandas==1.0.3 -pandocfilters==1.4.2 -parso==0.6.2 +Jinja2==3.1.4 +jmespath==1.0.1 +json5==0.9.25 +jsonschema==4.22.0 +jupyter-client==8.6.2 +jupyter-core==5.7.2 +jupyterlab==4.2.2 +jupyterlab-server==2.27.2 +kiwisolver==1.4.5 +MarkupSafe==2.1.5 +matplotlib==3.9.0 +mistune==3.0.2 +nbconvert==7.16.4 +nbformat==5.10.4 +notebook==7.2.1 +numpy===1.26.4 +opencv-python==4.10.0.84 +packaging==24.1 +pandas +pandocfilters==1.5.1 +parso==0.8.4 pathtools==0.1.2 pickleshare==0.7.5 -Pillow==7.0.0 -prometheus-client==0.7.1 -prompt-toolkit==3.0.5 -protobuf==3.11.3 -pyasn1==0.4.8 -pyasn1-modules==0.2.8 -pycodestyle==2.5.0 -pydeck==0.3.0b3 -Pygments==2.6.1 -pyparsing==2.4.6 -pyrsistent==0.16.0 -python-dateutil==2.8.1 +Pillow==10.3.0 +prometheus-client==0.20.0 +prompt-toolkit==3.0.47 +protobuf==5.27.1 +pyasn1==0.6.0 +pyasn1-modules==0.4.0 +pycodestyle==2.12.0 +pydeck==0.9.0b1 +Pygments==2.18.0 +pyparsing==3.1.2 +pyrsistent==0.20.0 +python-dateutil==2.9.0 # pytz==2019.3 Commenting for production deployment # pywin32==227 pywinpty==0.5.7 -PyYAML==5.3.1 -pyzmq==19.0.0 -requests==2.23.0 -rsa==4.0 -s3transfer==0.3.3 -Send2Trash==1.5.0 -six==1.14.0 -soupsieve==2.0 -sqlparse==0.3.1 -terminado==0.8.3 -testpath==0.4.4 -toml==0.10.0 -toolz==0.10.0 -torch==1.4.0 -torchvision==0.5.0 -tornado==5.1.1 -traitlets==4.3.3 -tzlocal==2.0.0 -uritemplate==3.0.1 -urllib3==1.25.8 -validators==0.14.2 -watchdog==0.10.2 -wcwidth==0.1.9 +PyYAML==6.0.1 +pyzmq==26.0.3 +requests==2.32.3 +rsa==4.9 +s3transfer==0.10.1 +Send2Trash==1.8.3 +six==1.16.0 +soupsieve==2.5 +sqlparse==0.5.0 +terminado==0.18.1 +testpath==0.6.0 +toml==0.10.2 +toolz==0.12.1 +torch==2.3.1 +torchvision==0.18.1 +tornado==6.4.1 +traitlets==5.14.3 +tzlocal==5.2 +uritemplate +urllib3==2.2.2 +validators==0.28.3 +watchdog==4.0.1 +wcwidth==0.2.13 webencodings==0.5.1 -widgetsnbextension==3.5.1 +widgetsnbextension==4.0.11 From 098d5a81f68ad912b08ca9d20fc2d11ef23e828b Mon Sep 17 00:00:00 2001 From: vthonte Date: Sun, 23 Jun 2024 12:54:23 +0530 Subject: [PATCH 02/11] code-refactor --- Django Application/ml_app/views.py | 194 ++++++++++++++++------------- 1 file changed, 110 insertions(+), 84 deletions(-) diff --git a/Django Application/ml_app/views.py b/Django Application/ml_app/views.py index ae8f9ed..6d4d827 100644 --- a/Django Application/ml_app/views.py +++ b/Django Application/ml_app/views.py @@ -25,12 +25,17 @@ index_template_name = 'index.html' predict_template_name = 'predict.html' +about_template_name = "about.html" im_size = 112 mean=[0.485, 0.456, 0.406] std=[0.229, 0.224, 0.225] sm = nn.Softmax() inv_normalize = transforms.Normalize(mean=-1*np.divide(mean,std),std=np.divide([1,1,1],std)) +if torch.cuda.is_available(): + device = 'gpu' +else: + device = 'cpu' train_transforms = transforms.Compose([ transforms.ToPILImage(), @@ -124,12 +129,12 @@ def im_plot(tensor): image = cv2.merge((r,g,b)) image = image*[0.22803, 0.22145, 0.216989] + [0.43216, 0.394666, 0.37645] image = image*255.0 - plt.imshow(image.astype(int)) + plt.imshow(image.astype('uint8')) plt.show() def predict(model,img,path = './', video_file_name=""): - fmap,logits = model(img.to('cuda')) + fmap,logits = model(img.to(device)) img = im_convert(img[:,-1,:,:,:], video_file_name) params = list(model.parameters()) weight_softmax = model.linear1.weight.detach().cpu().numpy() @@ -140,7 +145,7 @@ def predict(model,img,path = './', video_file_name=""): return [int(prediction.item()),confidence] def plot_heat_map(i, model, img, path = './', video_file_name=''): - fmap,logits = model(img.to('cuda')) + fmap,logits = model(img.to(device)) params = list(model.parameters()) weight_softmax = model.linear1.weight.detach().cpu().numpy() logits = sm(logits) @@ -173,25 +178,30 @@ def get_accurate_model(sequence_length): sequence_model = [] final_model = "" list_models = glob.glob(os.path.join(settings.PROJECT_DIR, "models", "*.pt")) - for i in list_models: - model_name.append(i.split("\\")[-1]) - for i in model_name: + + for model_path in list_models: + model_name.append(os.path.basename(model_path)) + + for model_filename in model_name: try: - seq = i.split("_")[3] - if (int(seq) == sequence_length): - sequence_model.append(i) - except: - pass + seq = model_filename.split("_")[3] + if int(seq) == sequence_length: + sequence_model.append(model_filename) + except IndexError: + pass # Handle cases where the filename format doesn't match expected if len(sequence_model) > 1: accuracy = [] - for i in sequence_model: - acc = i.split("_")[1] - accuracy.append(acc) + for filename in sequence_model: + acc = filename.split("_")[1] + accuracy.append(acc) # Convert accuracy to float for proper comparison max_index = accuracy.index(max(accuracy)) - final_model = sequence_model[max_index] + final_model = os.path.join(settings.PROJECT_DIR, "models", sequence_model[max_index]) + elif len(sequence_model) == 1: + final_model = os.path.join(settings.PROJECT_DIR, "models", sequence_model[0]) else: - final_model = sequence_model[0] + print("No model found for the specified sequence length.") # Handle no models found case + return final_model ALLOWED_VIDEO_EXTENSIONS = set(['mp4','gif','webm','avi','3gp','wmv','flv','mkv']) @@ -248,6 +258,7 @@ def index(request): def predict_page(request): if request.method == "GET": + # Redirect to 'home' if 'file_name' is not in session if 'file_name' not in request.session: return redirect("ml_app:home") if 'file_name' in request.session: @@ -255,107 +266,122 @@ def predict_page(request): if 'sequence_length' in request.session: sequence_length = request.session['sequence_length'] path_to_videos = [video_file] - video_file_name = video_file.split('\\')[-1] - if settings.DEBUG == False: - production_video_name = video_file_name.split('/')[3:] - production_video_name = '/'.join([str(elem) for elem in production_video_name]) - print("Production file name",production_video_name) - video_file_name_only = video_file_name.split('.')[0] - video_dataset = validation_dataset(path_to_videos, sequence_length=sequence_length,transform= train_transforms) - model = Model(2).cuda() - model_name = os.path.join(settings.PROJECT_DIR,'models', get_accurate_model(sequence_length)) - models_location = os.path.join(settings.PROJECT_DIR,'models') + video_file_name = os.path.basename(video_file) + video_file_name_only = os.path.splitext(video_file_name)[0] + # Production environment adjustments + if not settings.DEBUG: + production_video_name = os.path.join('/home/app/staticfiles/', video_file_name.split('/')[3]) + print("Production file name", production_video_name) + else: + production_video_name = video_file_name + + # Load validation dataset + video_dataset = validation_dataset(path_to_videos, sequence_length=sequence_length, transform=train_transforms) + + # Load model + if(device == "gpu"): + model = Model(2).cuda() # Adjust the model instantiation according to your model structure + else: + model = Model(2).cpu() # Adjust the model instantiation according to your model structure + model_name = os.path.join(settings.PROJECT_DIR, 'models', get_accurate_model(sequence_length)) path_to_model = os.path.join(settings.PROJECT_DIR, model_name) - model.load_state_dict(torch.load(path_to_model)) + model.load_state_dict(torch.load(path_to_model, map_location=torch.device('cpu'))) model.eval() start_time = time.time() - # Start: Displaying preprocessing images + # Display preprocessing images print("<=== | Started Videos Splitting | ===>") preprocessed_images = [] faces_cropped_images = [] cap = cv2.VideoCapture(video_file) - frames = [] - while(cap.isOpened()): + while cap.isOpened(): ret, frame = cap.read() - if ret==True: + if ret: frames.append(frame) - if cv2.waitKey(1) & 0xFF == ord('q'): - break else: break cap.release() - for i in range(1, sequence_length+1): - frame = frames[i] - image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) - img = pImage.fromarray(image, 'RGB') - image_name = video_file_name_only+"_preprocessed_"+str(i)+'.png' - if settings.DEBUG: - image_path = os.path.join(settings.PROJECT_DIR, 'uploaded_images', image_name) - else: - print("image_name",image_name) - image_path = "/home/app/staticfiles" + image_name - img.save(image_path) - preprocessed_images.append(image_name) - print("<=== | Videos Splitting Done | ===>") - print("--- %s seconds ---" % (time.time() - start_time)) - # End: Displaying preprocessing images - - - # Start: Displaying Faces Cropped Images - print("<=== | Started Face Cropping Each Frame | ===>") + print(f"Number of frames: {len(frames)}") + # Process each frame for preprocessing and face cropping padding = 40 faces_found = 0 - for i in range(1, sequence_length+1): + for i in range(sequence_length): + if i >= len(frames): + break frame = frames[i] - #fig, ax = plt.subplots(1,1, figsize=(5, 5)) - face_locations = face_recognition.face_locations(frame) + + # Convert BGR to RGB + rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + + # Save preprocessed image + image_name = f"{video_file_name_only}_preprocessed_{i+1}.png" + image_path = os.path.join(settings.PROJECT_DIR, 'uploaded_images', image_name) + img_rgb = pImage.fromarray(rgb_frame, 'RGB') + img_rgb.save(image_path) + preprocessed_images.append(image_name) + + # Face detection and cropping + face_locations = face_recognition.face_locations(rgb_frame) if len(face_locations) == 0: continue + top, right, bottom, left = face_locations[0] - frame_face = frame[top-padding:bottom+padding, left-padding:right+padding] - image = cv2.cvtColor(frame_face, cv2.COLOR_BGR2RGB) + frame_face = frame[top - padding:bottom + padding, left - padding:right + padding] - img = pImage.fromarray(image, 'RGB') - image_name = video_file_name_only+"_cropped_faces_"+str(i)+'.png' - if settings.DEBUG: - image_path = os.path.join(settings.PROJECT_DIR, 'uploaded_images', video_file_name_only+"_cropped_faces_"+str(i)+'.png') - else: - image_path = "/home/app/staticfiles" + image_name - img.save(image_path) - faces_found = faces_found + 1 + # Convert cropped face image to RGB and save + rgb_face = cv2.cvtColor(frame_face, cv2.COLOR_BGR2RGB) + img_face_rgb = pImage.fromarray(rgb_face, 'RGB') + image_name = f"{video_file_name_only}_cropped_faces_{i+1}.png" + image_path = os.path.join(settings.PROJECT_DIR, 'uploaded_images', image_name) + img_face_rgb.save(image_path) + faces_found += 1 faces_cropped_images.append(image_name) - print("<=== | Face Cropping Each Frame Done | ===>") + + print("<=== | Videos Splitting and Face Cropping Done | ===>") print("--- %s seconds ---" % (time.time() - start_time)) - # No face is detected + # No face detected if faces_found == 0: - return render(request, predict_template_name, {"no_faces": True}) + return render(request, 'predict_template_name.html', {"no_faces": True}) - # End: Displaying Faces Cropped Images + # Perform prediction try: heatmap_images = [] - for i in range(0, len(path_to_videos)): - output = "" - print("<=== | Started Predicition | ===>") + output = "" + confidence = 0.0 + + for i in range(len(path_to_videos)): + print("<=== | Started Prediction | ===>") prediction = predict(model, video_dataset[i], './', video_file_name_only) confidence = round(prediction[1], 1) - print("<=== | Predicition Done | ===>") - # print("<=== | Heat map creation started | ===>") - # for j in range(0, sequence_length): - # heatmap_images.append(plot_heat_map(j, model, video_dataset[i], './', video_file_name_only)) - if prediction[0] == 1: - output = "REAL" - else: - output = "FAKE" - print("Prediction : " , prediction[0],"==",output ,"Confidence : " , confidence) + output = "REAL" if prediction[0] == 1 else "FAKE" + print("Prediction:", prediction[0], "==", output, "Confidence:", confidence) + print("<=== | Prediction Done | ===>") print("--- %s seconds ---" % (time.time() - start_time)) + + # Uncomment if you want to create heat map images + # for j in range(sequence_length): + # heatmap_images.append(plot_heat_map(j, model, video_dataset[i], './', video_file_name_only)) + + # Render results + context = { + 'preprocessed_images': preprocessed_images, + 'faces_cropped_images': faces_cropped_images, + 'heatmap_images': heatmap_images, + 'original_video': production_video_name, + 'models_location': os.path.join(settings.PROJECT_DIR, 'models'), + 'output': output, + 'confidence': confidence + } + if settings.DEBUG: - return render(request, predict_template_name, {'preprocessed_images': preprocessed_images, 'heatmap_images': heatmap_images, "faces_cropped_images": faces_cropped_images, "original_video": video_file_name, "models_location": models_location, "output": output, "confidence": confidence}) + return render(request, predict_template_name, context) else: - return render(request, predict_template_name, {'preprocessed_images': preprocessed_images, 'heatmap_images': heatmap_images, "faces_cropped_images": faces_cropped_images, "original_video": production_video_name, "models_location": models_location, "output": output, "confidence": confidence}) - except: + return render(request, predict_template_name, context) + + except Exception as e: + print(f"Exception occurred during prediction: {e}") return render(request, 'cuda_full.html') def about(request): return render(request, about_template_name) From a7d9b7abc4b59ed32a42e1c80f9ee884cc6d8529 Mon Sep 17 00:00:00 2001 From: Abhijit Jadhav <38549908+abhijitjadhav1998@users.noreply.github.com> Date: Tue, 25 Jun 2024 15:10:28 +0530 Subject: [PATCH 03/11] Update README.md Added contributers --- README.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/README.md b/README.md index b45f5f6..c3c3fda 100644 --- a/README.md +++ b/README.md @@ -57,6 +57,15 @@ Deepfake_detection_using_deep_learning |model_93_acc_100_frames_final_data.pt| 6000 | 100 | 93.58794| ## 6. Contributors + + + + + + + + + 1. Abhijit Jadhav 2. Jay Patel 3. Hitendra Patil From 578aef141c53ccbcb2e4a12599b8f64e2682cfe9 Mon Sep 17 00:00:00 2001 From: Abhijit Jadhav <38549908+abhijitjadhav1998@users.noreply.github.com> Date: Tue, 25 Jun 2024 15:15:34 +0530 Subject: [PATCH 04/11] Update README.md @all-contributors please add @abhijitjadhav1998 for founder of the project --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index c3c3fda..b4c1ae4 100644 --- a/README.md +++ b/README.md @@ -58,6 +58,8 @@ Deepfake_detection_using_deep_learning ## 6. Contributors +## Contributors + @@ -66,6 +68,8 @@ Deepfake_detection_using_deep_learning + + 1. Abhijit Jadhav 2. Jay Patel 3. Hitendra Patil From 88f545c9e1cb6088e99dbd4bf874fcb9bb35f493 Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Tue, 25 Jun 2024 09:51:29 +0000 Subject: [PATCH 05/11] docs: update README.md [skip ci] --- README.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/README.md b/README.md index b4c1ae4..218c8af 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,7 @@ # Deepfake detection using Deep Learning (ResNext and LSTM) + +[![All Contributors](https://img.shields.io/badge/all_contributors-1-orange.svg?style=flat-square)](#contributors-) + ## Give a Star⭐ to repo and Don't forget to Buy Me A Coffee @@ -63,6 +66,20 @@ Deepfake_detection_using_deep_learning + + + + + + +
Abhijit Jadhav
Abhijit Jadhav
📆
+ + + + + + + From cc8927070791d75685ad9945ca604a54a8786acb Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Tue, 25 Jun 2024 09:51:30 +0000 Subject: [PATCH 06/11] docs: create .all-contributorsrc [skip ci] --- .all-contributorsrc | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 .all-contributorsrc diff --git a/.all-contributorsrc b/.all-contributorsrc new file mode 100644 index 0000000..bf88d87 --- /dev/null +++ b/.all-contributorsrc @@ -0,0 +1,26 @@ +{ + "files": [ + "README.md" + ], + "imageSize": 100, + "commit": false, + "commitType": "docs", + "commitConvention": "angular", + "contributors": [ + { + "login": "abhijitjadhav1998", + "name": "Abhijit Jadhav", + "avatar_url": "https://avatars.githubusercontent.com/u/38549908?v=4", + "profile": "https://www.linkedin.com/in/abhijitjadhav1998/", + "contributions": [ + "projectManagement" + ] + } + ], + "contributorsPerLine": 7, + "skipCi": true, + "repoType": "github", + "repoHost": "https://github.com", + "projectName": "Deepfake_detection_using_deep_learning", + "projectOwner": "abhijitjadhav1998" +} From 1b8f9f4566def710b0f73f93c8a445194a48f53f Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Tue, 25 Jun 2024 09:56:01 +0000 Subject: [PATCH 07/11] docs: update README.md [skip ci] --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 218c8af..880923d 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Deepfake detection using Deep Learning (ResNext and LSTM) -[![All Contributors](https://img.shields.io/badge/all_contributors-1-orange.svg?style=flat-square)](#contributors-) +[![All Contributors](https://img.shields.io/badge/all_contributors-2-orange.svg?style=flat-square)](#contributors-) ## Give a Star⭐ to repo and Don't forget to Buy Me A Coffee @@ -70,6 +70,7 @@ Deepfake_detection_using_deep_learning Abhijit Jadhav
Abhijit Jadhav
📆 + Vishwesh Thonte
Vishwesh Thonte
🚧 From d2194e746c1815dc50acf59d0598b8e6549f9669 Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Tue, 25 Jun 2024 09:56:02 +0000 Subject: [PATCH 08/11] docs: update .all-contributorsrc [skip ci] --- .all-contributorsrc | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/.all-contributorsrc b/.all-contributorsrc index bf88d87..2062013 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -15,6 +15,15 @@ "contributions": [ "projectManagement" ] + }, + { + "login": "vthonte", + "name": "Vishwesh Thonte", + "avatar_url": "https://avatars.githubusercontent.com/u/43621438?v=4", + "profile": "http://vthonte.vercel.app/", + "contributions": [ + "maintenance" + ] } ], "contributorsPerLine": 7, From 1fcea2f796880a31bb1180d1586d39f0a4f47a02 Mon Sep 17 00:00:00 2001 From: Abhijit Jadhav <38549908+abhijitjadhav1998@users.noreply.github.com> Date: Tue, 25 Jun 2024 15:31:23 +0530 Subject: [PATCH 09/11] Update README.md --- README.md | 16 +++++----------- 1 file changed, 5 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 880923d..2002370 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,4 @@ # Deepfake detection using Deep Learning (ResNext and LSTM) - -[![All Contributors](https://img.shields.io/badge/all_contributors-2-orange.svg?style=flat-square)](#contributors-) - ## Give a Star⭐ to repo and Don't forget to Buy Me A Coffee @@ -61,8 +58,6 @@ Deepfake_detection_using_deep_learning ## 6. Contributors -## Contributors - @@ -87,11 +82,10 @@ Deepfake_detection_using_deep_learning - - 1. Abhijit Jadhav - 2. Jay Patel - 3. Hitendra Patil - 4. Abhishek Patange +#### 6.1 Offline Contributors + 1. Jay Patel + 2. Hitendra Patil + 3. Abhishek Patange ## 7. License @@ -105,6 +99,6 @@ Deepfake_detection_using_deep_learning - [ ] Optimizing the code for faster execution. #### Completed - [X] Dockerizing the app -- [X] ~~Enabling working of project on Non Cuda Computers. i.e on normal or AMD GPUs~~ : not possible as dlib uses CUDA internally +- [X] Enabling working of project on Non Cuda Computers. i.e on normal or AMD GPUs ## 9. Dont forget to Star⭐ this repo 😉 and Buy Me A Coffee From a5639dbab9e133e72d2e6f2853dffe4fb9375238 Mon Sep 17 00:00:00 2001 From: vthonte Date: Wed, 26 Jun 2024 21:45:59 +0530 Subject: [PATCH 10/11] requirements-freeze --- Django Application/requirements.txt | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/Django Application/requirements.txt b/Django Application/requirements.txt index 781ccd8..e863264 100644 --- a/Django Application/requirements.txt +++ b/Django Application/requirements.txt @@ -16,24 +16,24 @@ cycler==0.12.1 decorator==5.1.1 defusedxml==0.7.1 Django==5.0.6 -dlib +dlib==19.24.2 docutils==0.21.2 entrypoints==0.4 enum-compat==0.0.3 -face-recognition -face-recognition-models +face-recognition==1.3.0 +face-recognition-models==0.3.0 future==1.0.0 google==3.0.0 -google-api-core -google-api-python-client +google-api-core==2.19.1 +google-api-python-client==2.134.0 google-auth==2.30.0 google-auth-httplib2==0.2.0 -googleapis-common-protos==1.63.1 +googleapis-common-protos==1.63.2 httplib2==0.22.0 idna==3.7 ipykernel==6.29.4 -ipython -ipython-genutils +ipython==8.12.3 +ipython-genutils==0.2.0 ipywidgets==8.1.3 jedi==0.16.0 Jinja2==3.1.4 @@ -54,7 +54,7 @@ notebook==7.2.1 numpy===1.26.4 opencv-python==4.10.0.84 packaging==24.1 -pandas +pandas==2.2.2 pandocfilters==1.5.1 parso==0.8.4 pathtools==0.1.2 @@ -62,7 +62,7 @@ pickleshare==0.7.5 Pillow==10.3.0 prometheus-client==0.20.0 prompt-toolkit==3.0.47 -protobuf==5.27.1 +protobuf==5.27.2 pyasn1==0.6.0 pyasn1-modules==0.4.0 pycodestyle==2.12.0 @@ -78,7 +78,7 @@ PyYAML==6.0.1 pyzmq==26.0.3 requests==2.32.3 rsa==4.9 -s3transfer==0.10.1 +s3transfer==0.10.2 Send2Trash==1.8.3 six==1.16.0 soupsieve==2.5 @@ -92,7 +92,7 @@ torchvision==0.18.1 tornado==6.4.1 traitlets==5.14.3 tzlocal==5.2 -uritemplate +uritemplate==4.1.1 urllib3==2.2.2 validators==0.28.3 watchdog==4.0.1 From 534f0e9915754b3a21eb1a838925f60d90f2866c Mon Sep 17 00:00:00 2001 From: Abhijit Jadhav <38549908+abhijitjadhav1998@users.noreply.github.com> Date: Fri, 5 Jul 2024 20:42:03 +0530 Subject: [PATCH 11/11] Update README.md --- Django Application/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Django Application/README.md b/Django Application/README.md index 227d811..2801a8e 100644 --- a/Django Application/README.md +++ b/Django Application/README.md @@ -36,7 +36,7 @@ docker run -p 80:80 --volumes-from deepfakeapplication -v static_volume:/home/ap ### Step 5: Star⭐ this repo 😉 on and Star⭐ this image on -## We deserve a Coffee ☕ Buy Me A Coffee Medium  +## We deserve a Coffee ☕ Buy Me A Coffee Please note that currently we have only pushed the image of 20 Frames model, If you can to create your own image of other frames model follow the steps given in the [blog](https://abhijithjadhav.medium.com/dockerise-deepfake-detection-django-application-using-nvidia-cuda-40cdda3b6d38).