Télécharger l'APK compatible pour PC
Télécharger pour Android | Développeur | Rating | Score | Version actuelle | Classement des adultes |
---|---|---|---|---|---|
↓ Télécharger pour Android | Heng Jia Liang | 0 | 0 | 1.0 | 4+ |
SN | App | Télécharger | Rating | Développeur |
---|---|---|---|---|
1. | Hidden City: Hidden Object Adventure | Télécharger | 4.4/5 2,012 Commentaires |
G5 Entertainment AB |
2. | The Paranormal Society: Hidden Object Adventure | Télécharger | 4.4/5 2,006 Commentaires |
G5 Entertainment AB |
3. | Twin Moons: Object Finding Game | Télécharger | 4.4/5 926 Commentaires |
G5 Entertainment AB |
En 4 étapes, je vais vous montrer comment télécharger et installer Object Detection Cam sur votre ordinateur :
Un émulateur imite/émule un appareil Android sur votre PC Windows, ce qui facilite l'installation d'applications Android sur votre ordinateur. Pour commencer, vous pouvez choisir l'un des émulateurs populaires ci-dessous:
Windowsapp.fr recommande Bluestacks - un émulateur très populaire avec des tutoriels d'aide en ligneSi Bluestacks.exe ou Nox.exe a été téléchargé avec succès, accédez au dossier "Téléchargements" sur votre ordinateur ou n'importe où l'ordinateur stocke les fichiers téléchargés.
Lorsque l'émulateur est installé, ouvrez l'application et saisissez Object Detection Cam dans la barre de recherche ; puis appuyez sur rechercher. Vous verrez facilement l'application que vous venez de rechercher. Clique dessus. Il affichera Object Detection Cam dans votre logiciel émulateur. Appuyez sur le bouton "installer" et l'application commencera à s'installer.
Object Detection Cam Sur iTunes
Télécharger | Développeur | Rating | Score | Version actuelle | Classement des adultes |
---|---|---|---|---|---|
2,99 € Sur iTunes | Heng Jia Liang | 0 | 0 | 1.0 | 4+ |
Object Detection Cam enables you to detect objects with your iPhone or iPad with custom train machine learning model. You can download pretrain machine learning model with extension .mlmodel and put it into Object Detection Cam Folder in Files App by Airdrop. Build in include YOLOv3Tiny.mlmodel as default object detection model, A neural network for fast object detection that detects 80 different classes of objects. Airdrop and place pretrain machine learning model with extension .Ml model [e.g. DogBreedsModel.mlmodel] into [OD Cam] Folder in Files App. • Load and run custom machine learning model from library. • Detect plant species in jungle with custom train model. • Able to Rename/Delete machine learning model from the library. The camera now can detect objects within the class label of the model. So the train model should include as much classes of objects as possible in that category. • Identify insect species with custom train model. • Identify animal species with custom train model. To obtain relevant results, object detection algorithms often use machine learning or deep learning. • Monitoring item status such as a defective item with custom train model. For example, you have a trained model which detects 5 dog breeds such as Husky, Bulldog, Golden Retriever, German Shepherd and Beagle. You can use the model to detect these 5 breeds of dog with not much issue. • Able to select difference sound tone for object detection. However, if you try to detect dog breed such as Boxer it might give inaccurate results such as Bulldog. You can snap the image and photo will be saved into camera roll. • Photo capture are saved in the photo library for fast and easy access. If the dog is detected, box and the text will appear on screen with a specific class label. When we look at photographs or videos, we may quickly distinguish and find objects of interest. The purpose of object detection is to use a computer to imitate this intelligence. Object localization includes creating a bounding box around one or more objects in an image, whereas image classification involves providing a class label to an image. [*] Make sure the train model are machine learning model that has been trained to Detect Objects in images. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.