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Runs, off 54 balls, so far and will come out to bat again tomorrow morning for India.India vs Australia Live Score: Bad light stops playUmpires took out the light meter and decided the light was not good enough to continue. Players are walking off the field.This after Akash Deep (27 not out off 31 balls) smashed a four and a six off Pat Cummins to help India avoid follow-on at the Gabba.Akash Deep and Jasprit Bumrah (10*) added an unbeaten 39 runs for the last wicket.India 252/9 in 74.5 oversIND vs AUS Live Score: FOUR! India avoid follow-onFOUR & SIX! Akash Deep (27*) smokes Pat Cummins for a four and a six in three balls to take India beyond the follow-on mark of 246. India 252/9 in 74.4 overs, trail Australia by 193 runsIndia vs Australia Live Score: India need 5 more to avoid follow-on1 1 0 2 2 1 - Pat Cummins almost got the wicket off the last ball, when Akash Deep inside edged one for a single to fine leg. But before that it was Akash Deep (16*) who added valuable runs in the over to take India near the 246-run mark to avoid follow-on. India need five more to make Australia bat again. India 241/9 in 73 oversIND vs AUS Live Score: FOUR! Akash Deep gets a fourBOOM! What a shot from Akash Deep. The India No.11 slashes hard and the thick outside edge flies towards backward point for a valuable boundary. India need 14 more to avoid follow-on.Australia bring back Nathan Lyon into the attack.India 232/9 in 71 oversIndia vs Australia Live Score: Bumrah, Akash Deep frustrate AustraliaJasprit Bumrah (8*) and Akash Deep (3*) keep the scoreboard ticking for India. The duo is frustrating Australia bowlers with their prolonged stay in the middle.India 225/9 in 70 overs, trail Australia by 220 runsIND vs AUS Live Score: SIX! Bumrah smokes CumminsBOOM! Jasprit Bumrah smokes it over fine leg for a six off Pat Cummins. And there's smiles all around. Even Cummins can't hide his smile. Valuable runs for India.India 221/9 in 67.1 oversDon't missanything!Subscribe to our newsletter and get all the stories that matter delivered to your inboxInvalid id. Please enter againIndia vs Australia Live Score: OUT! Jadeja departsOh No! India lost another wicket, and that's the set batter Ravindra Jadeja. Pat Cummins gave his team a big breakthrough by removing Jadeja, who was going strong

Install paddlepaddle==2.4.2 -i you do have the gpu support you need to install the gpu version. You can find the command here selecting your cuda versionhere.3. Install Wheel PackageInstall the Wheel package using pip:4. Install InsightFacePaddleWe will be using the InsightFacePaddle package for face recognition repository. Build the wheel package from this repository customized version of insight-face-paddle module.Install it using the following commands:cd insight-face-paddlepython setup.py bdist_wheelpip install dist/*">git clone this repository>cd insight-face-paddlepython setup.py bdist_wheelpip install dist/*5. Install PaddlePaddle HubPaddlePaddle Hub is a powerful toolkit for pretrained AI models based on paddle paddle framework. Install it using the following command:Documentationpip install paddlehub==2.1.0To verify the installation, run the following code snippet:import paddlehubpaddlehub.server_check()6. Install Face Detection ModuleFor face detection, we'll use the PyramidBox Lite Mobile module from PaddleHub. PyramidBox is a one-stage face detector based on SSD.This model has solid robustness against interferences such as light and scale variation. This module is optimized for mobile device, based on PyramidBox, trained on WIDER FACE Dataset and Baidu Face Dataset.DocumentationInstall it using the following command:hub install pyramidbox_lite_mobileYou have now completed the setup process for face recognition using PaddlePaddle. Follow the next steps specific to your application to continue. Feel free to refer to the provided links for further documentation on each component.UsageBefore proceeding, make sure you have activated the Python virtual environment you created earlier. Run the following command:source myenv/bin/activate # Replace `myenv` with your virtual environment nameFirst you will need to introduce the people to the modelRun the enroll_new_faces.py script to enroll new people's faces.Provide the camera link in the camera_url variable in the script.Enter the person's name when prompted.The face image capturing process will run for 10 seconds to allow the person to rotate their face and provide different angles for more accurate predictions.The script will capture face images for that person and save them in the dataset folder.The captured images will be used for identification purposes.At the end, face embeddings will be generated and saved in the index.bin file.Later these face embeddings will be used to measure cosine similarity for face recognition process.Run the script using the following command:(myenv)akash@akash:~$ python enroll_new_faces.pyNow to run the face recognition system camera streamingYou will need to provide rtsp links for the cameras which will be streaming.In the file camera_urls.json you need to paste the rtsp links in a list.akash@akash:~$ cat camera_urls.json["rtsp://192.168.0.100:8080/h264_pcm.sdp","rtsp://192.168.0.103:8080/h264_pcm.sdp"]If you want to use the cpu environment you can specify the no. of threads the model will be using during inference time in the script args.cpu_threads changing this variable value.Run the cpu script using the following command:(myenv)akash@akash:~$ python face_recognition-cpu.pyAlso if you have gpu support you can run the script for gpu version(myenv)akash@akash:~$ python face_recognition-gpu.py

Data Not Linked to You The following data may be collected but it is not linked to your identity: Purchases Identifiers Usage Data Privacy practices may vary based on, for example, the features you use or your age. Learn More Information Provider Akash Jain Size 89 MB Category Photo & Video Compatibility iPhone Requires iOS 15.0 or later. iPod touch Requires iOS 15.0 or later. Mac Requires macOS 12.0 or later and a Mac with Apple M1 chip or later. Apple Vision Requires visionOS 1.0 or later. Languages English, Croatian, Czech, Danish, Dutch, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Japanese, Korean, Malay, Norwegian Bokmål, Polish, Portuguese, Romanian, Russian, Simplified Chinese, Spanish, Swedish, Traditional Chinese, Turkish, Ukrainian, Vietnamese Copyright © 2024 Akash Jain Price Free In-App Purchases Nost Monthly SAR 17.99 Nost Lifetime SAR 39.99 Nost Yearly SAR 69.99 App Support Privacy Policy App Support Privacy Policy More By This Developer You Might Also Like