Add application file

00000.json

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+[{"Class": "person", "BoundingBox": [12.102564811706543, 8.40479850769043, 331.9989013671875, 504.0], "Confidence": 0.7372510433197021}]

Client_Server_isods.json

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+{"installed":{"client_id":"993373330768-nlm1aii22j4sek1a5ag5e2rdiagfiva9.apps.googleusercontent.com","project_id":"clever-stone-394203","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_secret":"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","redirect_uris":["http://localhost"]}}

Google.py

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+import pickle
+import os
+from google_auth_oauthlib.flow import Flow, InstalledAppFlow
+from googleapiclient.discovery import build
+from googleapiclient.http import MediaFileUpload, MediaIoBaseDownload
+from google.auth.transport.requests import Request
+
+
+def Create_Service(client_secret_file, api_name, api_version, *scopes):
+    print(client_secret_file, api_name, api_version, scopes, sep='-')
+    CLIENT_SECRET_FILE = client_secret_file
+    API_SERVICE_NAME = api_name
+    API_VERSION = api_version
+    SCOPES = [scope for scope in scopes[0]]
+    print(SCOPES)
+
+    cred = None
+
+    pickle_file = f'token_{API_SERVICE_NAME}_{API_VERSION}.pickle'
+    # print(pickle_file)
+
+    if os.path.exists(pickle_file):
+        with open(pickle_file, 'rb') as token:
+            cred = pickle.load(token)
+
+    if not cred or not cred.valid:
+        if cred and cred.expired and cred.refresh_token:
+            cred.refresh(Request())
+        else:
+            flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)
+            cred = flow.run_local_server()
+
+        with open(pickle_file, 'wb') as token:
+            pickle.dump(cred, token)
+
+    try:
+        service = build(API_SERVICE_NAME, API_VERSION, credentials=cred)
+        print(API_SERVICE_NAME, 'service created successfully')
+        return service
+    except Exception as e:
+        print('Unable to connect.')
+        print(e)
+        return None
+
+def convert_to_RFC_datetime(year=1900, month=1, day=1, hour=0, minute=0):
+    dt = datetime.datetime(year, month, day, hour, minute, 0).isoformat() + 'Z'
+    return dt

Load_image_Client.json

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+{"installed":{"client_id":"709256034265-gpo1qcstq1dnko3rbt7md081g38lfcsb.apps.googleusercontent.com","project_id":"test2drive-394218","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_secret":"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","redirect_uris":["http://localhost"]}}

demo.py

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+import os
+import cv2
+import sys
+import time
+import math
+import random
+import numpy as np
+import socket
+import pickle
+import torch
+from Google import Create_Service
+from googleapiclient.http import MediaFileUpload
+from googleapiclient.http import MediaIoBaseDownload
+CLIENT_SECRET_FILE="D:/cuoc_thi/object-detection/Client_Server_isods.json"
+API_NAME = "drive"
+API_VERSION = "v3"
+SCOPES=["https://www.googleapis.com/auth/drive", 'https://www.googleapis.com/auth/drive.file']
+service = Create_Service(CLIENT_SECRET_FILE, API_NAME, API_VERSION, SCOPES)
+folder_id_input = '1r4RDsWv0xc_XV6IRrgkfQEcJKC8i3Xy3'
+folder_id_output = '1IcWWr2s6pWS-QhgfBzFbd2UCR6jAZtbc'
+#model = torch.hub.load('D:/cuoc_thi/Advanced/yolov5s.pt', pretrained=True)
+
+def load_image (file_image_name):
+    file_names = [file_image_name]
+    mime_types = ['image/jpeg']
+    for file_name, mime_type in zip(file_names,mime_types):
+        file_metadata = {
+        'name': file_name,
+        'parents' : [folder_id_output]
+    }
+
+    media = MediaFileUpload('D:/cuoc_thi/object-detection/{0}'.format(file_name), mimetype = mime_type)
+    
+    service.files().create(
+        body=file_metadata,
+        media_body =media,
+        fields='id' 
+    ).execute()
+
+def load_json (file_json_name):
+    file_names = [file_json_name]
+    mime_types = ['file_json_name']
+    for file_name, mime_type in zip(file_names,mime_types):
+        file_metadata = {
+        'name': file_name,
+        'parents' : [folder_id_output]
+    }
+
+    media = MediaFileUpload('D:/cuoc_thi/object-detection/{0}'.format(file_name), mimetype = mime_type)
+    
+    service.files().create(
+        body=file_metadata,
+        media_body =media,
+        fields='id' 
+    ).execute()
+
+cnt = 0
+cap = cv2.VideoCapture(0)
+while(cap.isOpened()):
+    ret, frame = cap.read()
+ 
+    cv2.imshow('frame',frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+    
+    name_image ='{:05d}.jpg'.format(cnt)   
+    print(name_image)
+    cv2.imwrite(name_image, frame) # save figures if necessay
+    load_image(name_image)
+    os.remove(name_image) 
+    cnt+=1
+    if cnt == 100:
+        break
+
+cap.release()
+cv2.destroyAllWindows()

image_ID.py

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+import os
+import cv2
+import sys
+import time
+import math
+import random
+import numpy as np
+import socket
+import pickle
+import io
+import torch
+import json
+from google.oauth2.credentials import Credentials
+from googleapiclient.discovery import build
+from googleapiclient.errors import HttpError
+from Google import Create_Service
+from googleapiclient.http import MediaFileUpload
+from googleapiclient.http import MediaIoBaseDownload
+from load_data_from_client import load_image, run_webcam
+
+def get_image_from_drive(frame_id):
+    # Lấy dữ liệu ảnh từ Google Drive
+    response = Server_drive.files().get_media(fileId=frame_id).execute()
+
+    # Chuyển đổi dữ liệu ảnh thành mảng numpy
+    image_bytes = io.BytesIO(response)
+    image_array = np.asarray(bytearray(image_bytes.read()), dtype=np.uint8)
+    image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+    return image
+def load_json_file(file_json_name, folder_id_output, Server_drive):
+    file_metadata = {'name': file_json_name, 'parents': [folder_id_output]}
+    media = MediaFileUpload('D:/cuoc_thi/object-detection/{0}'.format(file_json_name), mimetype = 'application/json')
+
+    # Tải lên tệp tin vào thư mục chỉ định
+    file = Server_drive.files().create(
+        body=file_metadata,
+        media_body=media,
+        fields='id'
+    ).execute()
+
+
+# Xác thực tài khoản Google Drive thứ nhất
+Server = Credentials.from_authorized_user_file("D:/cuoc_thi/object-detection/token_Server.json", ['https://www.googleapis.com/auth/drive', 'https://www.googleapis.com/auth/drive.file'])
+Server_drive = build('drive', 'v3', credentials=Server)
+about_server = Server_drive.about().get(fields='user').execute()
+server_user = about_server['user']['emailAddress']
+print('Tài khoản Google Drive Server hiện đang được sử dụng là:', server_user)
+folder_id_output = '1IcWWr2s6pWS-QhgfBzFbd2UCR6jAZtbc'
+
+#model
+model = torch.hub.load('ultralytics/yolov5','yolov5s', pretrained=True)
+
+
+#tìm ID folder
+query_folder = "mimeType='application/vnd.google-apps.folder' and sharedWithMe=true and trashed=false"
+results_folder = Server_drive.files().list(q=query_folder, fields="nextPageToken, files(id, name)").execute()
+items_folder = results_folder.get('files', [])
+folder_name = "Input"
+folder_id = None
+for item in items_folder:
+    if item['name'] == folder_name:
+        folder_id = item['id']
+        #print(folder_id)
+        break
+
+#Tìm ID ảnh
+cnt = 0 
+query_img = "mimeType='image/jpeg' and trashed=false and parents in '{}'".format(folder_id)
+results_img = Server_drive.files().list(q=query_img, fields="nextPageToken, files(id)").execute()
+items_img = results_img.get('files', [])
+for item in items_img:
+    print(item['id'],item)
+    frame = get_image_from_drive(item['id'])
+    objects = []
+    prediction = model(frame)
+    for det in prediction.xyxy[0]:
+        class_id = int(det[5])
+        class_name = model.names[class_id]
+        confidence = float(det[4])
+        bbox = det[:4].tolist()
+        if(confidence >= 0.5):
+            # Save the results to the list
+            objects.append({
+                'Class': class_name,
+                'BoundingBox': bbox,
+                'Confidence': confidence
+            })
+        name_json ='{:05d}.json'.format(cnt) 
+        with open(name_json , 'w') as f:
+            json.dump(objects, f)
+    load_json_file(name_json, folder_id_output, Server_drive)
+    cnt += 1
+    print(cnt)
+    #os.remove(name_json)
+
+

link_2_drive.py

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+import os
+import cv2
+import sys
+import time
+import math
+import random
+import numpy as np
+import socket
+import pickle
+import io
+import torch
+import json
+from google.oauth2.credentials import Credentials
+from googleapiclient.discovery import build
+from googleapiclient.errors import HttpError
+from Google import Create_Service
+from googleapiclient.http import MediaFileUpload
+from googleapiclient.http import MediaIoBaseDownload
+from load_data_from_client import load_image, run_webcam
+# Xác thực tài khoản Google Drive thứ nhất
+Server = Credentials.from_authorized_user_file("D:/cuoc_thi/object-detection/token_Server.json", ['https://www.googleapis.com/auth/drive', 'https://www.googleapis.com/auth/drive.file'])
+Server_drive = build('drive', 'v3', credentials=Server)
+folder_id_output = '1IcWWr2s6pWS-QhgfBzFbd2UCR6jAZtbc'
+about_server = Server_drive.about().get(fields='user').execute()
+server_user = about_server['user']['emailAddress']
+print('Tài khoản Google Drive Server hiện đang được sử dụng là:', server_user)
+
+
+# Xác thực tài khoản Google Drive thứ hai
+Client = Credentials.from_authorized_user_file("D:/cuoc_thi/object-detection/token_Client.json", ['https://www.googleapis.com/auth/drive', 'https://www.googleapis.com/auth/drive.file'])
+Client_drive = build('drive', 'v3', credentials=Client)
+about_client = Client_drive.about().get(fields='user').execute()
+client_user = about_client['user']['emailAddress']
+print('Tài khoản Google Drive Client hiện đang được sử dụng là:', client_user)
+
+
+# Tạo một thư mục mới trên tài khoản thứ nhất
+folder_metadata = {'name': 'Input', 'mimeType': 'application/vnd.google-apps.folder'}
+folder = Client_drive.files().create(body=folder_metadata, fields='id').execute()
+folder_id_input = folder.get('id')
+# Chia sẻ thư mục với tài khoản thứ hai
+permission = {'type': 'user', 'role': 'writer', 'emailAddress': server_user, 'Domain': 'global'}
+Client_drive.permissions().create(fileId=folder_id_input, body=permission).execute()
+
+# Kiểm tra xem tài khoản thứ hai có thể truy cập vào thư mục mới không
+try:
+    Server_drive.files().get(fileId=folder_id_input).execute()
+    print('Liên kết tài khoản thành công')
+except HttpError as error:
+    print('Liên kết tài khoản không thành công:', error)
+
+
+#//-----------------------------------------------------------------------------------------------------------------------------
+run_webcam(folder_id_input, folder_id_output, Client_drive, Server_drive)

load_data_from_client.py

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+import os
+import cv2
+import sys
+import time
+import math
+import random
+import numpy as np
+import socket
+import pickle
+import io
+import torch
+import json
+import time
+from google.oauth2.credentials import Credentials
+from googleapiclient.discovery import build
+from googleapiclient.errors import HttpError
+from Google import Create_Service
+from googleapiclient.http import MediaFileUpload
+from googleapiclient.http import MediaIoBaseDownload
+
+
+Server = Credentials.from_authorized_user_file("D:/cuoc_thi/object-detection/token_Server.json", ['https://www.googleapis.com/auth/drive', 'https://www.googleapis.com/auth/drive.file'])
+Server_drive = build('drive', 'v3', credentials=Server)
+Client = Credentials.from_authorized_user_file("D:/cuoc_thi/object-detection/token_Client.json", ['https://www.googleapis.com/auth/drive', 'https://www.googleapis.com/auth/drive.file'])
+Client_drive = build('drive', 'v3', credentials=Client)
+folder_id_output = '1IcWWr2s6pWS-QhgfBzFbd2UCR6jAZtbc'
+
+model = torch.hub.load('ultralytics/yolov5','yolov5s', pretrained=True)
+
+
+
+def get_image_from_drive(frame_id):
+    # Lấy dữ liệu ảnh từ Google Drive
+    response = Server_drive.files().get_media(fileId=frame_id).execute()
+
+    # Chuyển đổi dữ liệu ảnh thành mảng numpy
+    image_bytes = io.BytesIO(response)
+    image_array = np.asarray(bytearray(image_bytes.read()), dtype=np.uint8)
+    image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+    return image
+
+def load_json_file(file_json_name, folder_id_output, Server_drive):
+    file_metadata = {'name': file_json_name, 'parents': [folder_id_output]}
+    media = MediaFileUpload('D:/cuoc_thi/object-detection/{0}'.format(file_json_name), mimetype = 'application/json')
+
+def load_image (file_image_name, folder_id_input, Client_drive):
+    file_metadata = {'name': file_image_name, 'parents': [folder_id_input]}
+    media = MediaFileUpload('D:/cuoc_thi/object-detection/{0}'.format(file_image_name), mimetype = 'image/jpeg')
+
+    # Tải lên tệp tin vào thư mục chỉ định
+    file = Client_drive.files().create(
+        body=file_metadata,
+        media_body=media,
+        fields='id'
+    ).execute()
+def run_webcam(folder_id_input, folder_id_output, Client_drive, Server_drive):
+    cnt = 0
+    cap = cv2.VideoCapture(0)
+    while(cap.isOpened()):
+        ret, frame = cap.read()
+    
+        cv2.imshow('frame',frame)
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+                break
+        
+        name_image ='{:05d}.jpg'.format(cnt)   
+        print(name_image)
+        cv2.imwrite(name_image, frame) # save figures if necessay
+        load_image(name_image, folder_id_input, Client_drive)
+        os.remove(name_image) 
+        #cnt+=1
+        query_img = "mimeType='image/jpeg' and trashed=false and parents in '{}'".format(folder_id_input)
+        results_img = Server_drive.files().list(q=query_img, fields="nextPageToken, files(id)").execute()
+        items_img = results_img.get('files', [])
+        for item in items_img:
+            print(item['id'],item)
+            frame = get_image_from_drive(item['id'])
+            objects = []
+            prediction = model(frame)
+            for det in prediction.xyxy[0]:
+                class_id = int(det[5])
+                class_name = model.names[class_id]
+                confidence = float(det[4])
+                bbox = det[:4].tolist()
+                if(confidence >= 0.5):
+                    # Save the results to the list
+                    objects.append({
+                        'Class': class_name,
+                        'BoundingBox': bbox,
+                        'Confidence': confidence
+                    })
+                name_json ='{:05d}.json'.format(cnt) 
+                with open(name_json , 'w') as f:
+                    json.dump(objects, f)
+            load_json_file(name_json, folder_id_output, Server_drive)
+        cnt += 1
+        print(cnt)
+        #os.remove(name_json)
+
+
+
+        if cnt == 10:
+            break
+
+    cap.release()
+    cv2.destroyAllWindows()

model.py

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+import os
+import cv2
+import sys
+import time
+import math
+import random
+import numpy as np
+import socket
+import pickle
+import torch
+import json
+from google.oauth2.credentials import Credentials
+from googleapiclient.discovery import build
+from googleapiclient.errors import HttpError
+from Google import Create_Service
+from googleapiclient.http import MediaFileUpload
+from googleapiclient.http import MediaIoBaseDownload
+
+model = torch.hub.load('ultralytics/yolov5','yolov5s', pretrained=True)
+cnt = 0
+def turn_img_into_fileJSON(frame):
+    global cnt
+    
+    print(cnt)
+    objects = []
+    prediction = model(frame)
+    for det in prediction.xyxy[0]:
+        class_id = int(det[5])
+        class_name = model.names[class_id]
+        confidence = float(det[4])
+        bbox = det[:4].tolist()
+        if(confidence >= 0.5):
+            # Save the results to the list
+            objects.append({
+                'Class': class_name,
+                'BoundingBox': bbox,
+                'Confidence': confidence
+            })
+        with open('{:05d}.json'.format(cnt)  , 'w') as f:
+            json.dump(objects, f)
+    cnt += 1
+
+turn_img_into_fileJSON("D:/cuoc_thi/object-detection/download.jpg")
+turn_img_into_fileJSON("D:/cuoc_thi/object-detection/download.jpg")

quickstart.py

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+from __future__ import print_function
+
+import os.path
+
+from google.auth.transport.requests import Request
+from google.oauth2.credentials import Credentials
+from google_auth_oauthlib.flow import InstalledAppFlow
+from googleapiclient.discovery import build
+from googleapiclient.errors import HttpError
+
+# If modifying these scopes, delete the file token.json.
+SCOPES = ['https://www.googleapis.com/auth/drive.metadata.readonly','https://www.googleapis.com/auth/drive', 'https://www.googleapis.com/auth/drive.file']
+
+
+def main():
+    """Shows basic usage of the Drive v3 API.
+    Prints the names and ids of the first 10 files the user has access to.
+    """
+    creds = None
+    # The file token.json stores the user's access and refresh tokens, and is
+    # created automatically when the authorization flow completes for the first
+    # time.
+    if os.path.exists('token_Server.json'):
+        creds = Credentials.from_authorized_user_file('token_Server.json', SCOPES)
+    # If there are no (valid) credentials available, let the user log in.
+    if not creds or not creds.valid:
+        if creds and creds.expired and creds.refresh_token:
+            creds.refresh(Request())
+        else:
+            flow = InstalledAppFlow.from_client_secrets_file(
+                'D:/cuoc_thi/object-detection/Client_Server_isods.json', SCOPES)
+            creds = flow.run_local_server(port=0)
+        # Save the credentials for the next run
+        with open('token_Server.json', 'w') as token:
+            token.write(creds.to_json())
+
+    try:
+        service = build('drive', 'v3', credentials=creds)
+
+        # Call the Drive v3 API
+        results = service.files().list(
+            pageSize=10, fields="nextPageToken, files(id, name)").execute()
+        items = results.get('files', [])
+
+        if not items:
+            print('No files found.')
+            return
+        print('Files:')
+        for item in items:
+            print(u'{0} ({1})'.format(item['name'], item['id']))
+    except HttpError as error:
+        # TODO(developer) - Handle errors from drive API.
+        print(f'An error occurred: {error}')
+
+
+if __name__ == '__main__':
+    main()

requirements.txt

@@ -0,0 +1,204 @@
+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: win-64
+aiofiles=23.1.0=pyhd8ed1ab_1
+aiohttp=3.8.5=py38h91455d4_0
+aiosignal=1.3.1=pyhd8ed1ab_0
+altair=5.0.1=pyhd8ed1ab_1
+annotated-types=0.5.0=pyhd8ed1ab_0
+anyio=3.7.1=pyhd8ed1ab_0
+asttokens=2.2.1=pyhd8ed1ab_0
+async-timeout=4.0.2=pyhd8ed1ab_0
+attrs=23.1.0=pyh71513ae_1
+backcall=0.2.0=pyh9f0ad1d_0
+backports=1.0=pyhd8ed1ab_3
+backports.functools_lru_cache=1.6.5=pyhd8ed1ab_0
+brotli-python=1.0.9=py38hd3f51b4_9
+bzip2=1.0.8=h8ffe710_4
+ca-certificates=2023.7.22=h56e8100_0
+cachetools=5.3.1=pypi_0
+certifi=2023.7.22=pypi_0
+cffi=1.15.1=pypi_0
+charset-normalizer=3.2.0=pyhd8ed1ab_0
+click=8.1.6=win_pyh7428d3b_0
+colorama=0.4.6=pyhd8ed1ab_0
+cryptography=41.0.2=pypi_0
+cycler=0.11.0=pyhd8ed1ab_0
+decorator=5.1.1=pyhd8ed1ab_0
+eigen=3.4.0=h91493d7_0
+exceptiongroup=1.1.2=pyhd8ed1ab_0
+executing=1.2.0=pyhd8ed1ab_0
+fastapi=0.100.1=pyhd8ed1ab_0
+ffmpeg=4.2.3=ha925a31_0
+ffmpy=0.3.0=pyhb6f538c_0
+filelock=3.12.2=pyhd8ed1ab_0
+freetype=2.12.1=h546665d_1
+frozenlist=1.4.0=py38h91455d4_0
+fsspec=2023.6.0=pyh1a96a4e_0
+gettext=0.21.1=h5728263_0
+gitdb=4.0.10=pypi_0
+gitpython=3.1.32=pypi_0
+glib=2.76.4=h12be248_0
+glib-tools=2.76.4=h12be248_0
+google-api-core=2.11.1=pypi_0
+google-api-python-client=2.95.0=pypi_0
+google-auth=2.22.0=pypi_0
+google-auth-httplib2=0.1.0=pypi_0
+google-auth-oauthlib=1.0.0=pypi_0
+googleapis-common-protos=1.59.1=pypi_0
+gradio=3.23.0=pyhd8ed1ab_0
+gst-plugins-base=1.18.5=h9e645db_0
+gstreamer=1.18.5=hd78058f_0
+h11=0.14.0=pyhd8ed1ab_0
+h2=4.1.0=py38haa244fe_0
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test.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()

token_Client.json

@@ -0,0 +1 @@
+{"token": "ya29.a0AbVbY6N2Zmru0NavNAh7_-U0IN-I3APMSgeQAX7GKZtSUEpHBEISfL-Lyq1AG59eCJTgikV7EFsTPt5Ik8FzFiecv52yffZK6au0CSUhOjLPx6orYdg0kLdq0Qto6y71M4L6zExR123B7iPSTLE5d11pRkfJaCgYKAXsSARMSFQFWKvPlIIdN5HLnnQFKwbuMLV_USg0163", "refresh_token": "1//0eVYT040vL_wbCgYIARAAGA4SNwF-L9Ir5V0ZjloBYUVwCuPrC39h47CgKaBJq17XDQ-XkC83XcICEZJygRqiesvTV2ls0MhM1xY", "token_uri": "https://oauth2.googleapis.com/token", "client_id": "709256034265-gpo1qcstq1dnko3rbt7md081g38lfcsb.apps.googleusercontent.com", "client_secret": "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", "scopes": ["https://www.googleapis.com/auth/drive.metadata.readonly", "https://www.googleapis.com/auth/drive", "https://www.googleapis.com/auth/drive.file"], "expiry": "2023-07-29T07:07:27.463272Z"}

token_Server.json

@@ -0,0 +1 @@
+{"token": "ya29.a0AbVbY6M-Dv97VYV1iSudP345jhE1G57amhC59-tq7pL7624Zl807q1RyziApexlYS2FRlOKoxJH8cl1ImbsaOfZxHorgVfe0xlgzae9heGnpYl8K-a-9IVudFta9FZe9CijpkQBM_P51V40ym5GeBQfcdI3vaCgYKAfgSARASFQFWKvPlkNUjw-YIjrbrPYbYnqrytQ0163", "refresh_token": "1//0eC3Oi53WVh3RCgYIARAAGA4SNwF-L9Ir1-KXbfTRMlb7y6OTYDhp0tPBAUZHLsKAEPZyhLt5A_7_hh4ygpINTtL0O5FpvrQr44U", "token_uri": "https://oauth2.googleapis.com/token", "client_id": "993373330768-nlm1aii22j4sek1a5ag5e2rdiagfiva9.apps.googleusercontent.com", "client_secret": "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", "scopes": ["https://www.googleapis.com/auth/drive.metadata.readonly", "https://www.googleapis.com/auth/drive", "https://www.googleapis.com/auth/drive.file"], "expiry": "2023-07-29T07:09:38.019577Z"}

yolov5s.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b3b748c1e592ddd8868022e8732fde20025197328490623cc16c6f24d0782ee
+size 14808437