Name: iDetection Взлом 8.0.0 + Чит Коды
Rating: 4.3 (3 reviews)

Скриншоты

Описание

YOLOv5 applies the world's most advanced Artificial Intelligence (AI) to your iOS device camera scene to detect, classify and locate up to 80 classes of common objects in real-time.

YOLOv5 is trained on the COCO 2017 dataset with PyTorch and exported to Apple CoreML using our open-source GitHub repository: https://github.com/ultralytics/yolov5

A14 iOS devices perform >30 FPS at 192 x 320 default inference size. Performance may be slower on older devices.

All processing is done on-device. Images are not transmitted off-device.

For more info please visit https://github.com/ultralytics/yolov5

История обновлений

8.0.0

2021-10-15

- New YOLOv5-v6.0 models including YOLOv5n Nano
- Bug fixes and performance improvements

7.9

2021-09-12

-New YOLOv5 release 5.0 models with nn.SiLU() activations
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Bug fixes and performance improvements

7.8

2020-10-28

-YOLOv5.3 models with nn.Hardswish() activations
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Landscape mode and upside down mode inference
-Bug fixes and performance improvements

7.7

2020-09-20

-Updated to use the latest YOLOv5.3 models with hardswish activations
-Added capability for realtime IoU threshold and confidence threshold updates using a slider bar
-Added capability for landscape mode and upside down mode inference
-Bug fixes and performance improvements

7.6

2020-08-30

-Optimized YOLOv5 models
-Bug fixes and performance improvements

7.5

2020-08-23

-Updated YOLOv5 models
-Bug fixes and performance improvements

7.4

2020-03-03

-Updated CoreML models
-Bug fixes and performance improvements

7.3

2020-02-15

-Updated CoreML models
-Bug fixes and performance improvements

7.2

2020-02-11

-Bug fixes and performance improvements

7.1

2019-08-13

-Bug fixes and performance improvements

7.0

2019-08-03

- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- Firebase Integration

6.9

2019-07-30

- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)

6.8

2019-07-30

- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)

6.6

2019-05-27

- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)

6.4

2019-05-25

- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added

6.3

2019-05-21

- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added

6.2

2019-05-20

- Rectangular Inference at 192 x 320 for vertical 4k video
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
- 90 instance per image limit

6.0

2019-05-01

- Rectangular Inference at 192 x 320 for vertical 4k video
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices

5.0

2019-04-30

- YOLOv3-SPP inference at 320x320 resolution.
- Pinch-to-zoom functionality added for 1 - 10X zoom.

4.0

2019-04-22

- YOLOv3-SPP implemented
- Inference size reduced to 320 pixels
- Conv2d() + Batchnorm2d() layer fusion implemented

3.0

2019-03-15

- Bug fixes and performance improvements
- Improved full-screen video utilization