EL GHAFRAOUI AYOUB commited on
Commit
f33a600
1 Parent(s): 6ac734b
README.md CHANGED
@@ -1,10 +1,28 @@
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- ---
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- title: Yolo Space Storage
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- emoji: 🏢
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- colorFrom: red
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- colorTo: gray
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- sdk: docker
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- pinned: false
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ sudo find /home/ubuntu/yolo_detection_api -type f -exec chmod 777 {} \;
2
+
3
+ sudo netstat -tuln | grep 8000
4
+ sudo lsof -i :8000
5
+
6
+
7
+ sudo nohup uvicorn main1:app --host 0.0.0.0 --port 8000 > nohup.out 2>&1 &
8
+
9
+ sudo nohup uvicorn main:app --host 0.0.0.0 --port 8000 > nohup.out 2>&1 &
10
+
11
+ nohup uvicorn main:app --host 0.0.0.0 --port 8000 > nohup.out 2>&1 &
12
+
13
+
14
+ # log the tail
15
+ tail -f nohup.out
16
+
17
+
18
+ # to kill the service
19
+ ps aux | grep 'nohup'
20
+ kill pid
21
+
22
+ # to kill the uvicorn service directly
23
+ pkill uvicorn
24
+
25
+
26
+ # remove the file from folder
27
+ rm -r /path/to/folder1/*
28
+ rm -r /path/to/folder2/*
__pycache__/main.cpython-310.pyc ADDED
Binary file (4.99 kB). View file
 
__pycache__/main1.cpython-310.pyc ADDED
Binary file (2.58 kB). View file
 
bring_models.py ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
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+ import gdown
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+
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+ link = 'https://drive.google.com/drive/folders/1OMNdgAR-zeNhIlSWhXHzHttnIeegIgTW?usp=drive_link'
4
+
5
+ url = 'https://drive.google.com/drive/folders/1IakQ2IszbVLTvRkO7R5rkuoynzPmNZA-'
6
+ gdown.download_folder(link, quiet=True)
detection_room.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c23ca18c8d6552a5023b6178a733ddc9cee82e1d502d86a8d1ef5ec195a562b3
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+ size 134384422
find.save ADDED
File without changes
machine_learning/create_annotation_from_results.py ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+ from fuzzywuzzy import process
3
+ import json
4
+ ########################
5
+ #this is the first part of the process
6
+ # the function gonna take result data : and return json data
7
+ def create_annotations_from_results(results):
8
+ # Initialize dictionaries to store encountered object names and their counts
9
+ encountered_names = {}
10
+ encountered_ids = set()
11
+
12
+ # Initialize a list to store the annotations
13
+ annotations = []
14
+
15
+ # Iterate over the predictions and create annotations
16
+ for result in results:
17
+ for box in result.boxes:
18
+ # Extracting bounding box coordinates and rounding them
19
+ cords = [round(coord) for coord in box.xyxy[0].tolist()]
20
+
21
+ # Extracting class ID and confidence score
22
+ name_object = result.names[box.cls[0].item()]
23
+ conf = round(box.conf[0].item(), 2)
24
+
25
+ # Extracting tracked ID
26
+ id_track = int(box.id)
27
+
28
+ # Skip if ID is encountered
29
+ if id_track in encountered_ids:
30
+ continue
31
+ else:
32
+ encountered_ids.add(id_track)
33
+
34
+ # Update encountered names and counts
35
+ if name_object in encountered_names:
36
+ count = encountered_names[name_object] + 1
37
+ encountered_names[name_object] = count
38
+ name_object_with_count = f"{name_object}_{count}"
39
+ else:
40
+ count = 1
41
+ encountered_names[name_object] = 1
42
+ name_object_with_count = name_object
43
+
44
+ # Calculate bounding box center coordinates
45
+ center_x = (cords[0] + cords[2]) / 2
46
+ center_y = (cords[1] + cords[3]) / 2
47
+
48
+ # Determine location relative to the image center
49
+ image_center_x = result.orig_shape[1] / 2
50
+ image_center_y = result.orig_shape[0] / 2
51
+ location_x = "left" if center_x < image_center_x else "right"
52
+ location_y = "above" if center_y < image_center_y else "below"
53
+
54
+ # Calculate dimensions of the bounding box
55
+ width = abs(cords[2] - cords[0])
56
+ height = abs(cords[3] - cords[1])
57
+
58
+ # Create annotation dictionary
59
+ annotation = {
60
+ "id_tracked": id_track,
61
+ "object_type_name": name_object_with_count,
62
+ "coordinates": cords,
63
+ "probability": conf,
64
+ "count": count,
65
+ "location": (location_x, location_y),
66
+ "dimension": (width, height)
67
+ }
68
+
69
+ # Append annotation to the list
70
+ annotations.append(annotation)
71
+
72
+ # Print annotation if needed for debugging
73
+ print(annotation)
74
+
75
+ return annotations
76
+
77
+ ########################
machine_learning/predict_dimensions_from_annotations.py ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+ from fuzzywuzzy import process
3
+
4
+ def predict_dimensions_from_annotations(annotations):
5
+ # Load the data from CSV into a DataFrame
6
+ data = pd.read_csv("/content/output.csv")
7
+
8
+ # Initialize a list to store the predicted dimensions
9
+ predicted_dimensions = []
10
+
11
+ # Iterate over the annotations
12
+ for annotation in annotations:
13
+ # Extract object type name
14
+ object_type_name = annotation['object_type_name']
15
+
16
+ # Use fuzzy matching to find the closest matching product name in the CSV data
17
+ closest_match = process.extractOne(object_type_name, data['Product Family'])
18
+
19
+ # If a match is found above a certain threshold
20
+ if closest_match[1] >= 50:
21
+ # Get the index of the matched product family
22
+ index = data[data['Product Family'] == closest_match[0]].index[0]
23
+
24
+ # Retrieve the dimensions of the matched product
25
+ length, height, width = data.loc[index, ['LENGTH (Inches)', 'HEIGHT (Inches)', 'WIDTH (Inches)']]
26
+
27
+ # Append the predicted dimensions to the list
28
+ predicted_dimensions.append((length, height, width))
29
+ else:
30
+ # If no match is found above the threshold, append None
31
+ predicted_dimensions.append(None)
32
+
33
+ return predicted_dimensions
34
+
main.py ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastapi import FastAPI, Request, UploadFile, File,HTTPException
2
+ from fastapi.responses import HTMLResponse, JSONResponse
3
+ from fastapi.staticfiles import StaticFiles
4
+ from fastapi.templating import Jinja2Templates
5
+ from ultralytics import YOLO
6
+ import aiofiles
7
+ import os
8
+ from pathlib import Path
9
+ import json
10
+ from jinja2 import Environment, FileSystemLoader
11
+ import uvicorn
12
+ from fastapi.middleware.cors import CORSMiddleware # Import CORS middleware
13
+ # add the fuzzy
14
+
15
+ import requests
16
+
17
+ #extract function from the video_processing path:
18
+ from video_processing.video_frames_opt import extract_frames_and_detect_objects, lik, lik_prediction
19
+ from video_processing.video_frames_new import extract_frames_and_detect_new_objects
20
+
21
+ import pandas as pd
22
+ import numpy as np
23
+ import cv2
24
+ import logging
25
+
26
+ import os
27
+ from dotenv import load_dotenv
28
+ import boto3
29
+ from dotenv import dotenv_values
30
+
31
+
32
+
33
+ # Configure logging to write to a file
34
+ logging.basicConfig(filename='uvicorn.log', level=logging.DEBUG)
35
+
36
+ # Create a JSON file with tracking results
37
+ # Define the Jinja2 environment
38
+ jinja_env = Environment(loader=FileSystemLoader("templates"))
39
+
40
+ # Set the environment variable
41
+ os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
42
+
43
+ # Initialize FastAPI
44
+ app = FastAPI()
45
+
46
+ # CORS policy
47
+ origins = ["*"] # Allow requests from any origin
48
+ app.add_middleware(
49
+ CORSMiddleware,
50
+ allow_origins=origins,
51
+ allow_credentials=True,
52
+ allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
53
+ allow_headers=["*"],
54
+ )
55
+
56
+ # Serve static files
57
+ app.mount("/static", StaticFiles(directory="static"), name="static")
58
+
59
+ # Templates directory
60
+ templates = Jinja2Templates(directory="templates")
61
+
62
+ # Load the exported ONNX model
63
+ #onnx_model = YOLO('yolov8n.onnx')
64
+
65
+ # Directory to save uploaded videos
66
+ video_directory = Path("uploaded_videos")
67
+
68
+ # Directory to save the new videos:
69
+ video_directory_new = Path("uploaded_video_new")
70
+
71
+ # Chunk size for reading video files
72
+ CHUNK_SIZE = 1024 * 1024 # 1 MB
73
+
74
+ #################################################################
75
+ # define new function that upload the files from s3 bucket
76
+ # the part to load the env information
77
+ # Load environment variables from .env
78
+
79
+ import botocore
80
+
81
+ # Initialize the S3 client with anonymous access
82
+ s3 = boto3.client('s3', config=botocore.client.Config(signature_version=botocore.UNSIGNED))
83
+
84
+ @app.get("/download_s3_file/")
85
+ async def download_and_process_s3_file(s3_url: str):
86
+ try:
87
+ # Parse the S3 URL to extract bucket name and object key
88
+ bucket_name, object_key = s3_url.replace("s3://", "").split("/", 1)
89
+
90
+ # Construct the public URL for downloading the S3 object
91
+ public_url = f"https://{bucket_name}.s3.amazonaws.com/{object_key}"
92
+ response = requests.get(public_url)
93
+
94
+ file_name = object_key.split("/")[-1] # Extract the original filename
95
+ file_path = os.path.join("uploaded_video", file_name)
96
+
97
+ with open(file_path, "wb") as f:
98
+ f.write(response.content)
99
+
100
+ if file_path:
101
+ results = extract_frames_and_detect_objects(file_path)
102
+ json_data = lik(results)
103
+ processed_results = lik_prediction(json_data)
104
+
105
+ # Create a JSON file with tracking results
106
+ video_name = os.path.basename(file_path)
107
+ json_results_path = f"uploaded_videos/{video_name}.json"
108
+
109
+ with open(json_results_path, "w") as json_file:
110
+ json_file.write(processed_results)
111
+
112
+ return processed_results
113
+ else:
114
+ return {"message": "File download failed"}
115
+
116
+ except (requests.exceptions.RequestException, botocore.exceptions.ClientError) as e:
117
+ raise HTTPException(status_code=400, detail=f"Error processing video: {str(e)}")
118
+
119
+ # now get the access aws s3 bucket
120
+ AWS_ACCESS_KEY = os.environ.get("AWS_ACCESS_KEY")
121
+ AWS_SECRET_KEY = os.environ.get("AWS_SECRET_KEY")
122
+ AWS_S3_BUCKET_NAME = os.environ.get("AWS_S3_BUCKET_NAME")
123
+ FOLDER_NAME = os.environ.get("FOLDER_NAME")
124
+ # print the data access loading
125
+ print(FOLDER_NAME)
126
+ print('_url_upload_video_s3_')
127
+
128
+
129
+
130
+ def download_file_from_s3(bucket_name, access_key, secret_key, folder_name, name_for_s3):
131
+ s3_client = boto3.client(
132
+ service_name='s3',
133
+ aws_access_key_id=access_key,
134
+ aws_secret_access_key=secret_key
135
+ )
136
+
137
+ try:
138
+ # Define the path where the downloaded file will be saved
139
+ file_path = f"uploaded_video/{name_for_s3}"
140
+
141
+ # Check if the file already exists
142
+ if os.path.exists(file_path):
143
+ return file_path
144
+
145
+ s3_source_path = f"{FOLDER_NAME}/{name_for_s3}"
146
+
147
+ s3_client.download_file(bucket_name, s3_source_path, file_path)
148
+ return file_path
149
+ except Exception as e:
150
+ print(f"Error downloading file from S3: {e}")
151
+ return None
152
+
153
+
154
+
155
+ # Define a new endpoint to download files from S3, process them, and save JSON tracking results with changed URL names
156
+ @app.get("/process_s3_save/{file_name}")
157
+ async def process_and_save_file(file_name: str):
158
+ video_file_path = download_file_from_s3(AWS_S3_BUCKET_NAME, AWS_ACCESS_KEY, AWS_SECRET_KEY, FOLDER_NAME, file_name)
159
+ if video_file_path:
160
+ results = extract_frames_and_detect_objects(video_file_path)
161
+ json_data = lik(results)
162
+ processed_results = lik_prediction(json_data)
163
+
164
+ # Create a JSON file with tracking results
165
+ video_name = os.path.basename(video_file_path)
166
+ json_results_path = f"uploaded_videos/{video_name}.json"
167
+
168
+ with open(json_results_path, "w") as json_file:
169
+ json_file.write(processed_results)
170
+
171
+ return processed_results
172
+ else:
173
+ return {"message": "File download failed"}
174
+
175
+ #################################################################
176
+ @app.get("/", response_class=HTMLResponse)
177
+ async def read_root(request: Request):
178
+ return templates.TemplateResponse("index.html", {"request": request})
179
+
180
+
181
+ @app.get("/upload/image", response_class=HTMLResponse)
182
+ async def upload_image_form(request: Request):
183
+ return templates.TemplateResponse("upload_image.html", {"request": request})
184
+
185
+
186
+ @app.post("/upload/video", response_class=HTMLResponse)
187
+ async def upload_video(video: UploadFile = File(...)):
188
+ # Ensure the directory exists, create it if it doesn't
189
+ video_directory.mkdir(parents=True, exist_ok=True)
190
+
191
+ # Define the path where the video will be saved
192
+ video_path = video_directory / video.filename
193
+
194
+ # Open the video file in binary write mode asynchronously and write the video data
195
+ async with aiofiles.open(video_path, "wb") as buffer:
196
+ while True:
197
+ # Read the video data in chunks asynchronously
198
+ chunk = await video.read(CHUNK_SIZE)
199
+ if not chunk:
200
+ break
201
+ # Write the chunk to the file
202
+ await buffer.write(chunk)
203
+
204
+ results = extract_frames_and_detect_objects(str(video_path))
205
+
206
+ ######################################################
207
+ json_date = lik(results)
208
+ #####################################################
209
+ # Process the prediction
210
+ processed_results = lik_prediction(json_date)
211
+ ######################################################
212
+
213
+ # Create a JSON file with tracking results
214
+ json_results_path = video_directory / f"{video.filename}.json"
215
+ open_path = str(json_results_path)
216
+
217
+ with open(open_path, "w") as json_file:
218
+ json_file.write(processed_results)
219
+
220
+ # Return the processed JSON data
221
+ return processed_results
222
+
223
+
224
+
225
+ # upload video and see the results:
226
+ @app.get("/upload/video_new", response_class=HTMLResponse)
227
+ async def upload_video_new(video: UploadFile = File(...)):
228
+ # Ensure the directory exists, create it if it doesn't
229
+ video_directory_new.mkdir(parents=True, exist_ok=True)
230
+ # Define the path where the video will be saved
231
+ video_path = video_directory_new / video.filename
232
+
233
+ # Open the video file in binary write mode asynchronously and write the video data
234
+ async with aiofiles.open(video_path, "wb") as buffer:
235
+ while True:
236
+ # Read the video data in chunks asynchronously
237
+ chunk = await video.read(CHUNK_SIZE)
238
+ if not chunk:
239
+ break
240
+ # Write the chunk to the file
241
+ await buffer.write(chunk)
242
+ results = extract_frames_and_detect_new_objects(str(video_path))
243
+
244
+ return results
245
+
246
+ if __name__ == "__main__":
247
+ uvicorn.run(app, host="0.0.0.0", port=8000)
248
+
main1.py ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastapi import FastAPI, Request, UploadFile, File
2
+ from fastapi.responses import HTMLResponse, JSONResponse
3
+ from fastapi.staticfiles import StaticFiles
4
+ from fastapi.templating import Jinja2Templates
5
+ from ultralytics import YOLO
6
+ import aiofiles
7
+ import os
8
+ from pathlib import Path
9
+ import json
10
+ from jinja2 import Environment, FileSystemLoader
11
+ import uvicorn
12
+ from fastapi.middleware.cors import CORSMiddleware # Import CORS middleware
13
+ # add the fuzzy
14
+ from fuzzywuzzy import process
15
+ from video_processing.video_frames_opt import extract_frames_and_detect_objects, lik, lik_prediction
16
+ import pandas as pd
17
+ import numpy as np
18
+ import cv2
19
+ import logging
20
+
21
+
22
+ # Configure logging to write to a file
23
+ logging.basicConfig(filename='uvicorn.log', level=logging.DEBUG)
24
+
25
+ # Create a JSON file with tracking results
26
+ # Define the Jinja2 environment
27
+ jinja_env = Environment(loader=FileSystemLoader("templates"))
28
+
29
+ # Set the environment variable
30
+ os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
31
+
32
+ # Initialize FastAPI
33
+ app = FastAPI()
34
+
35
+ # CORS policy
36
+ origins = ["*"] # Allow requests from any origin
37
+ app.add_middleware(
38
+ CORSMiddleware,
39
+ allow_origins=origins,
40
+ allow_credentials=True,
41
+ allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
42
+ allow_headers=["*"],
43
+ )
44
+
45
+ # Serve static files
46
+ app.mount("/static", StaticFiles(directory="static"), name="static")
47
+
48
+ # Templates directory
49
+ templates = Jinja2Templates(directory="templates")
50
+
51
+ # Load the exported ONNX model
52
+ #onnx_model = YOLO('yolov8n.onnx')
53
+
54
+ # Directory to save uploaded videos
55
+ video_directory = Path("uploaded_videos")
56
+
57
+ # Chunk size for reading video files
58
+ CHUNK_SIZE = 1024 * 1024 # 1 MB
59
+
60
+ @app.get("/", response_class=HTMLResponse)
61
+ async def read_root(request: Request):
62
+ return templates.TemplateResponse("index.html", {"request": request})
63
+
64
+
65
+ @app.get("/upload/image", response_class=HTMLResponse)
66
+ async def upload_image_form(request: Request):
67
+ return templates.TemplateResponse("upload_image.html", {"request": request})
68
+
69
+
70
+ @app.post("/upload/video", response_class=HTMLResponse)
71
+ async def upload_video(video: UploadFile = File(...)):
72
+ # Ensure the directory exists, create it if it doesn't
73
+ video_directory.mkdir(parents=True, exist_ok=True)
74
+
75
+ # Define the path where the video will be saved
76
+ video_path = video_directory / video.filename
77
+
78
+ # Open the video file in binary write mode asynchronously and write the video data
79
+ async with aiofiles.open(video_path, "wb") as buffer:
80
+ while True:
81
+ # Read the video data in chunks asynchronously
82
+ chunk = await video.read(CHUNK_SIZE)
83
+ if not chunk:
84
+ break
85
+ # Write the chunk to the file
86
+ await buffer.write(chunk)
87
+
88
+ results = extract_frames_and_detect_objects(str(video_path))
89
+
90
+ ######################################################
91
+ json_date = lik(results)
92
+ #####################################################
93
+ # Process the prediction
94
+ processed_results = lik_prediction(json_date)
95
+ ######################################################
96
+
97
+ # Create a JSON file with tracking results
98
+ json_results_path = video_directory / f"{video.filename}.json"
99
+ open_path = str(json_results_path)
100
+
101
+ with open(open_path, "w") as json_file:
102
+ json_file.write(processed_results)
103
+
104
+ # Return the processed JSON data
105
+ return processed_results
106
+
107
+ if __name__ == "__main__":
108
+ uvicorn.run(app, host="0.0.0.0", port=8000)
109
+
main2.py ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ # Usage:
2
+ AWS_REGION = 'us-east-1'
3
+
4
+ # Usage:
5
+ AWS_S3_BUCKET_NAME = 'object-detection-saqib' # Your S3 bucket name
6
+ AWS_ACCESS_KEY = 'AKIA6J7OU46XRNUGROYB' # Your AWS Access Key ID
7
+ AWS_SECRET_KEY = 'EcdbUtbnQJJeEcaLrBxBcV7whT2GDkcnOhvIz6K2' # Your AWS Secret Access Key
modified_data.csv ADDED
File without changes
nginx_access_log.txt ADDED
@@ -0,0 +1,275 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 205.210.31.54 - - [11/Mar/2024:00:15:08 +0000] "GET / HTTP/1.0" 200 612 "-" "Expanse, a Palo Alto Networks company, searches across the global IPv4 space multiple times per day to identify customers&#39; presences on the Internet. If you would like to be excluded from our scans, please send IP addresses/domains to: scaninfo@paloaltonetworks.com"
2
+ 135.125.244.48 - - [11/Mar/2024:00:42:50 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
3
+ 135.125.244.48 - - [11/Mar/2024:00:42:50 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
4
+ 205.210.31.168 - - [11/Mar/2024:00:53:27 +0000] "\x16\x03\x01\x00\xCA\x01\x00\x00\xC6\x03\x03r\x0B\xE3bp:S\x05\x02\xDA\x03A\x88b*uK\xDC!\xFC\xA6U\x81\x15\xAA\xBEd\x81\xF9\x8E\xF4\xCF\x00\x00h\xCC\x14\xCC\x13\xC0/\xC0+\xC00\xC0,\xC0\x11\xC0\x07\xC0'\xC0#\xC0\x13\xC0\x09\xC0(\xC0$\xC0\x14\xC0" 400 166 "-" "-"
5
+ 205.210.31.168 - - [11/Mar/2024:00:53:27 +0000] "\x16\x03\x01\x00\xEE\x01\x00\x00\xEA\x03\x03\x11\x01\x90W\xC7\x98\xDD\x01\x02)\x80\xDA\x9EX\x17\xC1\xA1\xF1\xFE6\xC2\xB0qy\xB0" 400 166 "-" "-"
6
+ 198.235.24.13 - - [11/Mar/2024:01:14:00 +0000] "GET / HTTP/1.0" 200 612 "-" "Expanse, a Palo Alto Networks company, searches across the global IPv4 space multiple times per day to identify customers&#39; presences on the Internet. If you would like to be excluded from our scans, please send IP addresses/domains to: scaninfo@paloaltonetworks.com"
7
+ 190.249.182.38 - - [11/Mar/2024:01:39:25 +0000] "GET / HTTP/1.1" 200 1884 "-" "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36"
8
+ 166.88.141.168 - - [11/Mar/2024:02:19:33 +0000] "\x16\x03\x01\x01\x07\x01\x00\x01\x03\x03\x03" 400 166 "-" "-"
9
+ 135.125.244.48 - - [11/Mar/2024:02:23:34 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
10
+ 135.125.244.48 - - [11/Mar/2024:02:23:34 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
11
+ 102.64.219.238 - - [11/Mar/2024:02:58:43 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
12
+ 102.64.219.238 - - [11/Mar/2024:02:58:50 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
13
+ 102.64.219.238 - - [11/Mar/2024:02:58:51 +0000] "GET /sendgrid/.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
14
+ 102.64.219.238 - - [11/Mar/2024:02:58:54 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
15
+ 184.105.139.69 - - [11/Mar/2024:03:43:05 +0000] "\x16\x03\x01\x00{\x01\x00\x00w\x03\x03\xD0?/N\x91\xFA\xE3<o\x8F\xEC\x88\xFEh\xEC\x80\xAF\x85[\xA1Q\x94\xD8\x7F" 400 166 "-" "-"
16
+ 31.192.141.24 - - [11/Mar/2024:04:14:09 +0000] "GET / HTTP/1.1" 200 1884 "-" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36"
17
+ 198.235.24.18 - - [11/Mar/2024:04:26:27 +0000] "GET / HTTP/1.1" 200 1884 "-" "Expanse, a Palo Alto Networks company, searches across the global IPv4 space multiple times per day to identify customers&#39; presences on the Internet. If you would like to be excluded from our scans, please send IP addresses/domains to: scaninfo@paloaltonetworks.com"
18
+ 35.203.210.124 - - [11/Mar/2024:04:28:37 +0000] "GET / HTTP/1.1" 200 1884 "-" "Expanse, a Palo Alto Networks company, searches across the global IPv4 space multiple times per day to identify customers&#39; presences on the Internet. If you would like to be excluded from our scans, please send IP addresses/domains to: scaninfo@paloaltonetworks.com"
19
+ 64.62.197.178 - - [11/Mar/2024:04:44:27 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/110.0"
20
+ 64.62.197.179 - - [11/Mar/2024:04:45:30 +0000] "GET /webui/ HTTP/1.1" 404 22 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36"
21
+ 64.62.197.167 - - [11/Mar/2024:04:46:27 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 YaBrowser/23.1.2.987 Yowser/2.5 Safari/537.36"
22
+ 64.62.197.176 - - [11/Mar/2024:04:47:08 +0000] "GET /geoserver/web/ HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/110.0"
23
+ 135.125.244.48 - - [11/Mar/2024:04:49:09 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
24
+ 135.125.244.48 - - [11/Mar/2024:04:49:09 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
25
+ 35.203.211.134 - - [11/Mar/2024:05:19:28 +0000] "GET / HTTP/1.1" 200 1884 "-" "Expanse, a Palo Alto Networks company, searches across the global IPv4 space multiple times per day to identify customers&#39; presences on the Internet. If you would like to be excluded from our scans, please send IP addresses/domains to: scaninfo@paloaltonetworks.com"
26
+ 135.125.244.48 - - [11/Mar/2024:06:11:31 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
27
+ 135.125.244.48 - - [11/Mar/2024:06:11:32 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
28
+ 66.240.205.34 - - [11/Mar/2024:06:12:00 +0000] "H\x00\x00\x00tj\xA8\x9E#D\x98+\xCA\xF0\xA7\xBBl\xC5\x19\xD7\x8D\xB6\x18\xEDJ\x1En\xC1\xF9xu[l\xF0E\x1D-j\xEC\xD4xL\xC9r\xC9\x15\x10u\xE0%\x86Rtg\x05fv\x86]%\xCC\x80\x0C\xE8\xCF\xAE\x00\xB5\xC0f\xC8\x8DD\xC5\x09\xF4" 400 166 "-" "-"
29
+ 116.179.196.225 - - [11/Mar/2024:06:37:51 +0000] "POST /GponForm/diag_Form?images/ HTTP/1.1" 404 134 "-" "Hello, World"
30
+ 116.179.196.225 - - [11/Mar/2024:06:37:52 +0000] "0;sh+/tmp/gpon80&ipv=0" 400 166 "-" "-"
31
+ 135.125.244.48 - - [11/Mar/2024:06:54:50 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
32
+ 135.125.244.48 - - [11/Mar/2024:06:54:50 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
33
+ 212.70.149.134 - - [11/Mar/2024:07:09:18 +0000] "GET / HTTP/1.0" 200 612 "-" "masscan/1.0 (https://github.com/robertdavidgraham/masscan)"
34
+ 185.254.196.173 - - [11/Mar/2024:07:13:08 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
35
+ 185.254.196.173 - - [11/Mar/2024:07:13:09 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
36
+ 107.170.228.41 - - [11/Mar/2024:07:35:08 +0000] "GET /manager/html HTTP/1.1" 404 22 "-" "Mozilla/5.0 zgrab/0.x"
37
+ 196.65.133.201 - - [11/Mar/2024:07:41:50 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
38
+ 196.65.133.201 - - [11/Mar/2024:07:41:51 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
39
+ 196.65.133.201 - - [11/Mar/2024:07:44:32 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
40
+ 157.55.39.58 - - [11/Mar/2024:07:54:49 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm) Chrome/116.0.1938.76 Safari/537.36"
41
+ 185.254.196.173 - - [11/Mar/2024:08:43:30 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
42
+ 185.254.196.173 - - [11/Mar/2024:08:43:30 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
43
+ 135.125.244.48 - - [11/Mar/2024:08:49:12 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
44
+ 135.125.244.48 - - [11/Mar/2024:08:49:12 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
45
+ 103.203.56.1 - - [11/Mar/2024:09:08:42 +0000] "GET / HTTP/1.1" 200 1884 "-" "HTTP Banner Detection (https://security.ipip.net)"
46
+ 159.203.192.18 - - [11/Mar/2024:09:30:25 +0000] "MGLNDD_54.226.226.123_80" 400 166 "-" "-"
47
+ 135.125.244.48 - - [11/Mar/2024:09:39:41 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
48
+ 135.125.244.48 - - [11/Mar/2024:09:39:41 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
49
+ 71.6.232.26 - - [11/Mar/2024:09:40:49 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.131 Safari/537.36"
50
+ 103.183.121.244 - - [11/Mar/2024:09:41:59 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:76.0) Gecko/20100101 Firefox/76.0"
51
+ 35.246.201.121 - - [11/Mar/2024:09:52:44 +0000] "\x16\x03\x01\x00M\x01\x00\x00I\x03\x03H\x96 9\xAA\xEAU9\x1F~\xFA\x9D[\xDB\xBCu\xDD\xE0\x80`\xE1\xDFQ\x1F58I\xBF\xDE\x15\xDEq G\xC4\xBDC\x9F\x9F\xA0\xC1\xCF\xD0\xC07h\x08\xAF" 400 166 "-" "-"
52
+ 35.246.201.121 - - [11/Mar/2024:09:52:46 +0000] "OPTIONS / HTTP/1.0" 405 31 "-" "-"
53
+ 166.88.141.168 - - [11/Mar/2024:09:52:56 +0000] "\x16\x03\x01\x01\x07\x01\x00\x01\x03\x03\x03U\xBA\x5C\x09\xCC8e\xDF\x17\x85G\x14(>\x92\xE4\x9D+5\x8D7\x99\xE8!\xC5Z2%_t\xF4\xE8 \xC8\xD7\xFD\xD5[\xF7" 400 166 "-" "-"
54
+ 196.65.133.201 - - [11/Mar/2024:09:53:44 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
55
+ 196.65.133.201 - - [11/Mar/2024:09:53:46 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
56
+ 196.65.133.201 - - [11/Mar/2024:09:54:38 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
57
+ 196.65.133.201 - - [11/Mar/2024:09:55:00 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
58
+ 207.46.13.126 - - [11/Mar/2024:10:03:23 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm) Chrome/116.0.1938.76 Safari/537.36"
59
+ 196.65.133.201 - - [11/Mar/2024:10:04:40 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
60
+ 196.65.133.201 - - [11/Mar/2024:10:04:40 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
61
+ 196.65.133.201 - - [11/Mar/2024:10:05:24 +0000] "POST /upload/video HTTP/1.1" 200 261 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
62
+ 104.254.244.197 - - [11/Mar/2024:10:23:25 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
63
+ 104.254.244.197 - - [11/Mar/2024:10:23:25 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
64
+ 18.185.75.161 - - [11/Mar/2024:10:30:52 +0000] "GET /.git/config HTTP/1.1" 404 22 "-" "python-requests/2.25.1"
65
+ 118.123.105.85 - - [11/Mar/2024:10:36:40 +0000] "GET / HTTP/1.0" 200 612 "-" "-"
66
+ 118.123.105.85 - - [11/Mar/2024:10:36:40 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4 240.111 Safari/537.36"
67
+ 118.123.105.85 - - [11/Mar/2024:10:36:41 +0000] "GET /robots.txt HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4 240.111 Safari/537.36"
68
+ 118.123.105.85 - - [11/Mar/2024:10:36:41 +0000] "GET /.well-known/security.txt HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4 240.111 Safari/537.36"
69
+ 196.77.20.109 - - [11/Mar/2024:10:56:27 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
70
+ 196.77.20.109 - - [11/Mar/2024:10:56:28 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
71
+ 196.77.20.109 - - [11/Mar/2024:10:57:24 +0000] "POST /upload/video HTTP/1.1" 200 204 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
72
+ 196.77.20.109 - - [11/Mar/2024:10:57:37 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
73
+ 157.55.39.49 - - [11/Mar/2024:11:15:31 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm) Chrome/116.0.1938.76 Safari/537.36"
74
+ 154.57.217.66 - - [11/Mar/2024:11:20:50 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://localhost:3000/" "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Mobile Safari/537.36"
75
+ 154.57.217.66 - - [11/Mar/2024:11:25:20 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://localhost:3000/" "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Mobile Safari/537.36"
76
+ 154.57.217.66 - - [11/Mar/2024:11:32:07 +0000] "POST /upload/video HTTP/1.1" 500 21 "-" "PostmanRuntime/7.35.0"
77
+ 154.57.217.66 - - [11/Mar/2024:11:32:17 +0000] "POST /upload/video HTTP/1.1" 500 21 "-" "PostmanRuntime/7.35.0"
78
+ 154.57.217.66 - - [11/Mar/2024:11:32:40 +0000] "POST /upload/video HTTP/1.1" 200 295 "-" "PostmanRuntime/7.35.0"
79
+ 154.57.217.66 - - [11/Mar/2024:11:34:10 +0000] "POST /upload/video HTTP/1.1" 500 21 "-" "PostmanRuntime/7.35.0"
80
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166
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167
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168
+ 13.40.115.63 - - [11/Mar/2024:17:00:35 +0000] "GET /admin/phpinfo.php HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
169
+ 13.40.115.63 - - [11/Mar/2024:17:00:35 +0000] "GET /phpinfo/phpinfo.php HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
170
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171
+ 13.40.115.63 - - [11/Mar/2024:17:00:35 +0000] "GET /information HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
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199
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200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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223
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224
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227
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229
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230
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231
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235
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236
+ 119.73.121.37 - - [11/Mar/2024:20:21:11 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://localhost:3000/" "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Mobile Safari/537.36"
237
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238
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240
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241
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242
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243
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244
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246
+ 196.64.162.96 - - [11/Mar/2024:21:14:38 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
247
+ 205.210.31.26 - - [11/Mar/2024:21:14:53 +0000] "\x16\x03\x01\x00\xEE\x01\x00\x00\xEA\x03\x03\xEEH\xEE\x17lnM\xC1\x10Fkt\x86\xBC\xC0z\xC7F\x05\xB3\x99\x10\x9E\x9A\xA7\xD3\xF0\xA8\xC6LD\xA8 \x86\xD8\xD5\xDFy\xD5m\xD0\x04,Y\xF7\x827Qh5Q\x02i\xA8\xBF)\x13\x96\x10\x88+\xE84\xC2V\x00&\xC0+\xC0/\xC0,\xC00\xCC\xA9\xCC\xA8\xC0\x09\xC0\x13\xC0" 400 166 "-" "-"
248
+ 205.210.31.26 - - [11/Mar/2024:21:14:53 +0000] "\x16\x03\x01\x00\xCA\x01\x00\x00\xC6\x03\x039\x80L$|\x87\xB5\x86\xDF\x92\xCB3\x9E\x11\xFFU\xA9\xEAK\xAC\xB9^\xD3\x15g\x97\x07J\xAC\xDEm(\x00\x00h\xCC\x14\xCC\x13\xC0/\xC0+\xC00\xC0,\xC0\x11\xC0\x07\xC0'\xC0#\xC0\x13\xC0\x09\xC0(\xC0$\xC0\x14\xC0" 400 166 "-" "-"
249
+ 196.64.162.96 - - [11/Mar/2024:21:16:05 +0000] "POST /upload/video HTTP/1.1" 500 21 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
250
+ 196.64.162.96 - - [11/Mar/2024:21:29:58 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
251
+ 196.64.162.96 - - [11/Mar/2024:21:29:58 +0000] "GET /favicon.ico HTTP/1.1" 404 22 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
252
+ 196.64.162.96 - - [11/Mar/2024:21:31:57 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
253
+ 196.64.162.96 - - [11/Mar/2024:21:32:02 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
254
+ 196.64.162.96 - - [11/Mar/2024:21:34:24 +0000] "GET / HTTP/1.1" 502 568 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
255
+ 196.64.162.96 - - [11/Mar/2024:21:35:19 +0000] "GET / HTTP/1.1" 502 568 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
256
+ 196.64.162.96 - - [11/Mar/2024:21:35:57 +0000] "GET / HTTP/1.1" 502 568 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
257
+ 196.64.162.96 - - [11/Mar/2024:21:35:59 +0000] "GET / HTTP/1.1" 502 568 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
258
+ 196.64.162.96 - - [11/Mar/2024:21:36:00 +0000] "GET / HTTP/1.1" 502 568 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
259
+ 196.64.162.96 - - [11/Mar/2024:21:36:01 +0000] "GET / HTTP/1.1" 502 568 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
260
+ 196.64.162.96 - - [11/Mar/2024:21:36:02 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
261
+ 196.64.162.96 - - [11/Mar/2024:21:38:35 +0000] "POST /upload/video HTTP/1.1" 200 350 "http://54.226.226.123/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
262
+ 135.125.244.48 - - [11/Mar/2024:21:43:06 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
263
+ 135.125.244.48 - - [11/Mar/2024:21:43:06 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
264
+ 103.183.121.244 - - [11/Mar/2024:21:46:50 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:76.0) Gecko/20100101 Firefox/76.0"
265
+ 40.77.167.52 - - [11/Mar/2024:21:51:28 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm) Chrome/116.0.1938.76 Safari/537.36"
266
+ 185.254.196.186 - - [11/Mar/2024:21:56:37 +0000] "GET /.env HTTP/1.1" 404 22 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
267
+ 185.254.196.186 - - [11/Mar/2024:21:56:39 +0000] "POST / HTTP/1.1" 405 31 "-" "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36"
268
+ 198.235.24.200 - - [11/Mar/2024:21:58:25 +0000] "\x16\x03\x01\x00\xCA\x01\x00\x00\xC6\x03\x0357\x0C\xDE\xBCS\x92\xE6\xB4\x11P\xFD\xE9^Q\xA4b\x02\xCD4\xE6{\x9Dx\x15\xE8'\x91D\x0E\xB1\xB0\x00\x00h\xCC\x14\xCC\x13\xC0/\xC0+\xC00\xC0,\xC0\x11\xC0\x07\xC0'\xC0#\xC0\x13\xC0\x09\xC0(\xC0$\xC0\x14\xC0" 400 166 "-" "-"
269
+ 198.235.24.200 - - [11/Mar/2024:21:58:25 +0000] "\x16\x03\x01\x00\xEE\x01\x00\x00\xEA\x03\x03#\x15@\xDF\xE7\xBE*\xEB\xDF\x9C\xEA\xD9\x8E\xCC\xAD\xA6,\xF2`\x8C\x16\x96o.\x9F\x9C\x0BF\xADS:I \xBA\xA6\x09\xDF)\xD3z\xE4\xD0\xB2\xB2\x1A4}\x1B\x80\x05E\xE9\x12\xAC@\x00J\xB8\x044\x9E\x1A\xFA$K\x00&\xC0+\xC0/\xC0,\xC00\xCC\xA9\xCC\xA8\xC0\x09\xC0\x13\xC0" 400 166 "-" "-"
270
+ 146.19.24.28 - - [11/Mar/2024:22:06:23 +0000] "GET / HTTP/1.1" 200 1884 "-" "-"
271
+ 104.199.31.214 - - [11/Mar/2024:22:23:44 +0000] "GET / HTTP/1.1" 200 821 "-" "python-requests/2.31.0"
272
+ 80.66.83.114 - - [11/Mar/2024:22:34:25 +0000] "\x04\x01\x00\x19h/\x12\xE1\x00" 400 166 "-" "-"
273
+ 80.66.83.114 - - [11/Mar/2024:22:34:25 +0000] "\x05\x01\x00" 400 166 "-" "-"
274
+ 80.66.83.114 - - [11/Mar/2024:22:34:25 +0000] "CONNECT hotmail-com.olc.protection.outlook.com:25 HTTP/1.1" 400 166 "-" "-"
275
+ 18.183.41.11 - - [11/Mar/2024:22:48:43 +0000] "GET / HTTP/1.1" 200 821 "-" "Mozilla/5.0 (Linux; Android 7.0; LGMS428) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.111 Mobile Safari/537.36"
nginx_error_log.txt ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2024/03/11 13:00:31 [error] 529107#529107: *241 connect() failed (111: Unknown error) while connecting to upstream, client: 185.254.196.173, server: 54.226.226.123, request: "GET /.env HTTP/1.1", upstream: "http://127.0.0.1:8000/.env", host: "54.226.226.123"
2
+ 2024/03/11 13:00:32 [error] 529107#529107: *243 connect() failed (111: Unknown error) while connecting to upstream, client: 185.254.196.173, server: 54.226.226.123, request: "POST / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
3
+ 2024/03/11 13:05:24 [error] 529107#529107: *245 connect() failed (111: Unknown error) while connecting to upstream, client: 178.216.26.176, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123:80"
4
+ 2024/03/11 13:18:02 [error] 529107#529107: *247 connect() failed (111: Unknown error) while connecting to upstream, client: 154.57.217.66, server: 54.226.226.123, request: "POST /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123"
5
+ 2024/03/11 13:18:08 [error] 529107#529107: *247 connect() failed (111: Unknown error) while connecting to upstream, client: 154.57.217.66, server: 54.226.226.123, request: "POST /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123"
6
+ 2024/03/11 13:18:38 [error] 529107#529107: *250 connect() failed (111: Unknown error) while connecting to upstream, client: 154.57.217.66, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
7
+ 2024/03/11 13:19:00 [error] 529107#529107: *253 connect() failed (111: Unknown error) while connecting to upstream, client: 52.89.103.56, server: 54.226.226.123, request: "HEAD /upload/video"; HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video";", host: "54.226.226.123"
8
+ 2024/03/11 13:19:00 [error] 529107#529107: *255 connect() failed (111: Unknown error) while connecting to upstream, client: 52.89.103.56, server: 54.226.226.123, request: "HEAD /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123"
9
+ 2024/03/11 13:19:00 [error] 529107#529107: *257 connect() failed (111: Unknown error) while connecting to upstream, client: 52.89.103.56, server: 54.226.226.123, request: "GET /robots.txt HTTP/1.1", upstream: "http://127.0.0.1:8000/robots.txt", host: "54.226.226.123"
10
+ 2024/03/11 13:19:00 [error] 529107#529107: *259 connect() failed (111: Unknown error) while connecting to upstream, client: 52.89.103.56, server: 54.226.226.123, request: "GET /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123"
11
+ 2024/03/11 13:19:01 [error] 529107#529107: *261 connect() failed (111: Unknown error) while connecting to upstream, client: 34.217.253.81, server: 54.226.226.123, request: "HEAD /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123"
12
+ 2024/03/11 13:19:06 [error] 529107#529107: *250 connect() failed (111: Unknown error) while connecting to upstream, client: 154.57.217.66, server: 54.226.226.123, request: "GET /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123", referrer: "https://www.upwork.com/"
13
+ 2024/03/11 13:19:12 [error] 529107#529107: *250 connect() failed (111: Unknown error) while connecting to upstream, client: 154.57.217.66, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
14
+ 2024/03/11 13:19:18 [error] 529107#529107: *247 connect() failed (111: Unknown error) while connecting to upstream, client: 154.57.217.66, server: 54.226.226.123, request: "POST /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123"
15
+ 2024/03/11 13:22:39 [error] 529107#529107: *266 connect() failed (111: Unknown error) while connecting to upstream, client: 135.125.244.48, server: 54.226.226.123, request: "GET /.env HTTP/1.1", upstream: "http://127.0.0.1:8000/.env", host: "54.226.226.123"
16
+ 2024/03/11 13:22:39 [error] 529107#529107: *268 connect() failed (111: Unknown error) while connecting to upstream, client: 135.125.244.48, server: 54.226.226.123, request: "POST / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
17
+ 2024/03/11 14:29:42 [error] 529107#529107: *270 connect() failed (111: Unknown error) while connecting to upstream, client: 185.254.196.173, server: 54.226.226.123, request: "GET /.env HTTP/1.1", upstream: "http://127.0.0.1:8000/.env", host: "54.226.226.123"
18
+ 2024/03/11 14:29:43 [error] 529107#529107: *272 connect() failed (111: Unknown error) while connecting to upstream, client: 185.254.196.173, server: 54.226.226.123, request: "POST / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
19
+ 2024/03/11 14:43:30 [error] 529107#529107: *280 connect() failed (111: Unknown error) while connecting to upstream, client: 41.251.12.171, server: 54.226.226.123, request: "POST /upload/video HTTP/1.1", upstream: "http://127.0.0.1:8000/upload/video", host: "54.226.226.123", referrer: "http://localhost:3000/"
20
+ 2024/03/11 14:45:49 [emerg] 577870#577870: open() "/usr/share/nginx/-" failed (2: No such file or directory)
21
+ 2024/03/11 21:34:22 [warn] 373#373: conflicting server name "54.226.226.123" on 0.0.0.0:80, ignored
22
+ 2024/03/11 21:34:22 [warn] 442#442: conflicting server name "54.226.226.123" on 0.0.0.0:80, ignored
23
+ 2024/03/11 21:34:24 [error] 458#458: *2 connect() failed (111: Unknown error) while connecting to upstream, client: 196.64.162.96, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
24
+ 2024/03/11 21:35:19 [error] 458#458: *2 connect() failed (111: Unknown error) while connecting to upstream, client: 196.64.162.96, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
25
+ 2024/03/11 21:35:57 [error] 458#458: *2 connect() failed (111: Unknown error) while connecting to upstream, client: 196.64.162.96, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
26
+ 2024/03/11 21:35:59 [error] 458#458: *2 connect() failed (111: Unknown error) while connecting to upstream, client: 196.64.162.96, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
27
+ 2024/03/11 21:36:00 [error] 458#458: *2 connect() failed (111: Unknown error) while connecting to upstream, client: 196.64.162.96, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
28
+ 2024/03/11 21:36:01 [error] 458#458: *2 connect() failed (111: Unknown error) while connecting to upstream, client: 196.64.162.96, server: 54.226.226.123, request: "GET / HTTP/1.1", upstream: "http://127.0.0.1:8000/", host: "54.226.226.123"
nohup.out ADDED
The diff for this file is too large to render. See raw diff
 
output.log ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ nohup: ignoring input
2
+ /home/ubuntu/yolo_detection_api/ven/lib/python3.10/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning
3
+ warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')
4
+ INFO: Started server process [463555]
5
+ INFO: Waiting for application startup.
6
+ INFO: Application startup complete.
7
+ INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
8
+ INFO: 196.74.122.73:0 - "GET / HTTP/1.0" 200 OK
9
+ INFO: 196.74.122.73:0 - "GET / HTTP/1.0" 200 OK
10
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
11
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
12
+ INFO: 87.236.176.191:0 - "GET / HTTP/1.0" 200 OK
13
+ INFO: 162.243.131.30:0 - "GET /portal/redlion HTTP/1.0" 404 Not Found
14
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
15
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
16
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
17
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
18
+ INFO: 160.176.181.11:0 - "GET /favicon.ico HTTP/1.0" 404 Not Found
19
+ INFO: 160.176.181.11:0 - "GET / HTTP/1.0" 200 OK
20
+ INFO: 160.176.181.11:0 - "GET / HTTP/1.0" 200 OK
21
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
22
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
23
+ INFO: 47.189.63.64:0 - "GET / HTTP/1.0" 200 OK
24
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
25
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
26
+ INFO: 192.241.201.30:0 - "GET /hudson HTTP/1.0" 404 Not Found
27
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
28
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
29
+ INFO: 20.84.48.130:0 - "GET / HTTP/1.0" 200 OK
30
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
31
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
32
+ INFO: 188.191.16.250:0 - "GET / HTTP/1.0" 200 OK
33
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
34
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
35
+ INFO: 35.175.131.142:0 - "GET / HTTP/1.0" 200 OK
36
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
37
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
38
+ INFO: 196.77.28.134:0 - "GET / HTTP/1.0" 200 OK
39
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
40
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
41
+ INFO: 35.175.131.142:0 - "GET / HTTP/1.0" 200 OK
42
+ INFO: 135.148.12.140:0 - "GET /.env HTTP/1.0" 404 Not Found
43
+ INFO: 103.183.121.244:0 - "GET / HTTP/1.0" 200 OK
44
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
45
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
46
+ INFO: 198.199.118.114:0 - "GET /actuator/health HTTP/1.0" 404 Not Found
47
+ INFO: 135.148.12.140:0 - "GET /.env HTTP/1.0" 404 Not Found
48
+ INFO: 91.92.241.233:0 - "GET /.git/config HTTP/1.0" 404 Not Found
49
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
50
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
51
+ INFO: 146.148.113.189:0 - "GET / HTTP/1.0" 200 OK
52
+ INFO: 198.235.24.137:0 - "GET / HTTP/1.0" 200 OK
53
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
54
+ INFO: 135.125.217.54:0 - "POST / HTTP/1.0" 405 Method Not Allowed
55
+ INFO: 185.254.196.173:0 - "GET /.env HTTP/1.0" 404 Not Found
56
+ INFO: 185.254.196.173:0 - "POST / HTTP/1.0" 405 Method Not Allowed
57
+ INFO: 151.240.235.36:0 - "GET / HTTP/1.0" 200 OK
58
+ INFO: 135.148.12.140:0 - "GET /.env HTTP/1.0" 404 Not Found
59
+ INFO: 135.125.217.54:0 - "GET /.env HTTP/1.0" 404 Not Found
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+ "confidence": 0.851530909538269,
413
+ "bounding_box": [
414
+ 180.29185485839844,
415
+ 1327.3995361328125,
416
+ 288.22027587890625,
417
+ 1442.204345703125
418
+ ],
419
+ "width": 107.92842102050781,
420
+ "height": 114.8048095703125
421
+ },
422
+ {
423
+ "class_name": "dining table",
424
+ "confidence": 0.6593940258026123,
425
+ "bounding_box": [
426
+ 4.677012920379639,
427
+ 1188.6024169921875,
428
+ 750.7628784179688,
429
+ 1911.5281982421875
430
+ ],
431
+ "width": 746.0858654975891,
432
+ "height": 722.92578125
433
+ }
434
+ ]
templates/index.html ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Video Upload</title>
7
+ <style>
8
+ body {
9
+ font-family: 'Open Sans', sans-serif;
10
+ background-color: #1f1f1f; /* Dark Grey */
11
+ margin: 0;
12
+ padding: 40px;
13
+ color: #ddd; /* Light Grey */
14
+ display: flex;
15
+ justify-content: center; /* Center everything horizontally */
16
+ align-items: center; /* Center everything vertically */
17
+ height: 100vh; /* Full viewport height */
18
+ }
19
+
20
+ .container {
21
+ width: 80%;
22
+ max-width: 600px; /* Max width for the container */
23
+ background-color: #333; /* Dark Grey */
24
+ padding: 20px;
25
+ border-radius: 8px;
26
+ box-shadow: 0px 4px 8px rgba(0,0,0,0.2);
27
+ }
28
+
29
+ h2 {
30
+ font-weight: 600;
31
+ color: #4CAF50; /* Green */
32
+ text-align: center;
33
+ }
34
+
35
+ .upload-form {
36
+ text-align: center;
37
+ }
38
+
39
+ .upload-btn {
40
+ background-color: #4CAF50; /* Green */
41
+ color: white;
42
+ padding: 10px 20px;
43
+ border: none;
44
+ border-radius: 4px;
45
+ cursor: pointer;
46
+ transition: background-color 0.3s ease-in-out;
47
+ }
48
+
49
+ .upload-btn:hover {
50
+ background-color: #45a049; /* Darker Green */
51
+ }
52
+ </style>
53
+ </head>
54
+ <body>
55
+ <div class="container">
56
+ <h2>Upload Video</h2>
57
+
58
+ <form action="/upload/video" method="post" enctype="multipart/form-data" class="upload-form">
59
+ <input type="file" name="video" accept="video/*" required>
60
+ <br><br>
61
+ <button type="submit" class="upload-btn">Upload</button>
62
+ </form>
63
+ </div>
64
+ </body>
65
+ </html>
templates/results.html ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Video Upload Result</title>
7
+ <style>
8
+ body {
9
+ font-family: Arial, sans-serif;
10
+ margin: 0;
11
+ padding: 0;
12
+ background-color: #f4f4f4;
13
+ }
14
+ .container {
15
+ max-width: 800px;
16
+ margin: 0 auto;
17
+ padding: 20px;
18
+ background-color: #fff;
19
+ box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
20
+ }
21
+ h1, h2 {
22
+ color: #333;
23
+ }
24
+ .video-container {
25
+ margin-bottom: 20px;
26
+ }
27
+ .json-results {
28
+ background-color: #f9f9f9;
29
+ border-radius: 5px;
30
+ padding: 10px;
31
+ overflow-x: auto;
32
+ }
33
+ pre {
34
+ margin: 0;
35
+ white-space: pre-wrap;
36
+ }
37
+ .download-link {
38
+ display: block;
39
+ margin-top: 10px;
40
+ text-decoration: none;
41
+ color: #007bff;
42
+ }
43
+ </style>
44
+ </head>
45
+ <body>
46
+ <div class="container">
47
+ <h1>Video Upload Result</h1>
48
+
49
+ <div class="video-container">
50
+ <h2>Video</h2>
51
+ <video controls width="auto" height="auto">
52
+ <source src="/uploaded_videos/out.mp4" type="video/avi">
53
+ Your browser does not support the video tag.
54
+ </video>
55
+
56
+
57
+ </div>
58
+
59
+ <div class="json-results">
60
+ <h2>Tracking Results (JSON)</h2>
61
+ <pre>{{ json_results }}</pre>
62
+ <a href="/uploaded_videos/{{video_name}}/" class="download-link">Download JSON Results</a>
63
+ </div>
64
+ </div>
65
+ </body>
66
+
67
+ </html>
templates/uplaod_image.html ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Upload Image</title>
7
+ </head>
8
+ <body>
9
+ <h1>Upload Image</h1>
10
+ <form action="/upload/image" method="post" enctype="multipart/form-data">
11
+ <input type="file" name="image" accept="image/*">
12
+ <button type="submit">Upload</button>
13
+ </form>
14
+ </body>
15
+ </html>
templates/upload_video.html ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Upload Video</title>
7
+ </head>
8
+ <body>
9
+ <h1>Upload Video</h1>
10
+ <form action="/upload/video" method="post" enctype="multipart/form-data">
11
+ <input type="file" name="video" accept="video/*">
12
+ <button type="submit">Upload</button>
13
+ </form>
14
+ </body>
15
+ </html>
uvicorn.log ADDED
The diff for this file is too large to render. See raw diff
 
video_frames_opt.py ADDED
File without changes
work.py ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ @app.post("/upload/video")
2
+ async def upload_video(video: UploadFile = File(...)):
3
+ # Ensure the directory exists, create it if it doesn't
4
+ VIDEO_UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
5
+
6
+ # Define the path where the video will be saved
7
+ video_path = VIDEO_UPLOAD_DIR / video.filename
8
+
9
+ # Open the video file in binary write mode and write the video data
10
+ with open(video_path, "wb") as buffer:
11
+ buffer.write(await video.read())
12
+ results = onnx_model(video_path)
13
+
14
+
15
+
16
+
17
+
18
+
19
+
20
+
21
+
22
+
23
+
24
+
25
+ # Process tracking results
26
+ processed_results = []
27
+ unique_class_ids = set() # Set to store unique class IDs encountered
28
+
29
+ for result in results:
30
+ # Check if track method outputs are available and then process each detection
31
+ if hasattr(result, 'boxes') and len(result.boxes):
32
+ tracked_detections = result.boxes # Get the detections with tracking
33
+
34
+ for det in tracked_detections:
35
+ cls_id = int(det.cls) # Extract class ID
36
+
37
+ # Check if the class ID is already in the set
38
+ if cls_id not in unique_class_ids:
39
+ unique_class_ids.add(cls_id) # Add the class ID to the set
40
+ conf = float(det.conf) # Extract confidence score
41
+ xyxy = det.xyxy[0].tolist() # Extract bounding box coordinates
42
+
43
+ # Placeholder depth estimation using basic geometric principles
44
+ # Here, we assume the depth is inversely proportional to the area of the bounding box
45
+ # You can replace this with a more accurate depth estimation method if available
46
+ width = xyxy[2] - xyxy[0]
47
+ height = xyxy[3] - xyxy[1]
48
+ depth = 1000 / (width * height) # Placeholder depth calculation
49
+
50
+ # Get the class name from model.names
51
+ class_name = result.names[cls_id]
52
+
53
+ # Add extracted information to the processed results
54
+ processed_results.append({
55
+ "class_id": cls_id,
56
+ "class_name": class_name,
57
+ "confidence": conf,
58
+ # "track_id": track_id,
59
+ "bounding_box": xyxy
60
+ })
61
+
62
+ # Return the tracking results as JSON
63
+ return {"message": processed_results}
64
+