Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
@@ -35,39 +35,39 @@ More details on model performance across various devices, can be found
|
|
35 |
|
36 |
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
37 |
|---|---|---|---|---|---|---|---|---|
|
38 |
-
| Yolo-v6 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.
|
39 |
-
| Yolo-v6 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 4.
|
40 |
-
| Yolo-v6 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 6.
|
41 |
-
| Yolo-v6 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.
|
42 |
-
| Yolo-v6 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.
|
43 |
-
| Yolo-v6 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.
|
44 |
-
| Yolo-v6 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.
|
45 |
-
| Yolo-v6 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN |
|
46 |
-
| Yolo-v6 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX |
|
47 |
-
| Yolo-v6 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.
|
48 |
-
| Yolo-v6 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 4.
|
49 |
-
| Yolo-v6 | SA7255P ADP | SA7255P | TFLITE | 79.
|
50 |
-
| Yolo-v6 | SA7255P ADP | SA7255P | QNN | 78.
|
51 |
-
| Yolo-v6 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.
|
52 |
-
| Yolo-v6 | SA8255 (Proxy) | SA8255P Proxy | QNN | 4.
|
53 |
-
| Yolo-v6 | SA8295P ADP | SA8295P | TFLITE | 7.
|
54 |
-
| Yolo-v6 | SA8295P ADP | SA8295P | QNN |
|
55 |
-
| Yolo-v6 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.
|
56 |
-
| Yolo-v6 | SA8650 (Proxy) | SA8650P Proxy | QNN | 4.
|
57 |
-
| Yolo-v6 | SA8775P ADP | SA8775P | TFLITE | 8.
|
58 |
-
| Yolo-v6 | SA8775P ADP | SA8775P | QNN | 7.
|
59 |
-
| Yolo-v6 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 6.
|
60 |
-
| Yolo-v6 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 6.
|
61 |
-
| Yolo-v6 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.
|
62 |
-
| Yolo-v6 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.
|
63 |
|
64 |
|
65 |
|
66 |
|
67 |
## Installation
|
68 |
|
69 |
-
This model can be installed as a Python package via pip.
|
70 |
|
|
|
71 |
```bash
|
72 |
pip install qai-hub-models
|
73 |
```
|
@@ -123,8 +123,8 @@ Profiling Results
|
|
123 |
Yolo-v6
|
124 |
Device : Samsung Galaxy S23 (13)
|
125 |
Runtime : TFLITE
|
126 |
-
Estimated inference time (ms) : 5.
|
127 |
-
Estimated peak memory usage (MB): [0,
|
128 |
Total # Ops : 182
|
129 |
Compute Unit(s) : NPU (182 ops)
|
130 |
```
|
@@ -151,7 +151,7 @@ from qai_hub_models.models.yolov6 import Model
|
|
151 |
torch_model = Model.from_pretrained()
|
152 |
|
153 |
# Device
|
154 |
-
device = hub.Device("Samsung Galaxy
|
155 |
|
156 |
# Trace model
|
157 |
input_shape = torch_model.get_input_spec()
|
@@ -243,7 +243,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
|
|
243 |
|
244 |
|
245 |
## License
|
246 |
-
* The license for the original implementation of Yolo-v6 can be found
|
|
|
247 |
* The license for the compiled assets for on-device deployment can be found [here](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE)
|
248 |
|
249 |
|
|
|
35 |
|
36 |
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
37 |
|---|---|---|---|---|---|---|---|---|
|
38 |
+
| Yolo-v6 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.149 ms | 0 - 15 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
39 |
+
| Yolo-v6 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 4.807 ms | 5 - 17 MB | FP16 | NPU | [Yolo-v6.so](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.so) |
|
40 |
+
| Yolo-v6 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 6.25 ms | 1 - 33 MB | FP16 | NPU | [Yolo-v6.onnx](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.onnx) |
|
41 |
+
| Yolo-v6 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.589 ms | 0 - 45 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
42 |
+
| Yolo-v6 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.437 ms | 5 - 56 MB | FP16 | NPU | [Yolo-v6.so](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.so) |
|
43 |
+
| Yolo-v6 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.431 ms | 5 - 65 MB | FP16 | NPU | [Yolo-v6.onnx](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.onnx) |
|
44 |
+
| Yolo-v6 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.559 ms | 0 - 45 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
45 |
+
| Yolo-v6 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.441 ms | 5 - 54 MB | FP16 | NPU | Use Export Script |
|
46 |
+
| Yolo-v6 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.61 ms | 4 - 56 MB | FP16 | NPU | [Yolo-v6.onnx](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.onnx) |
|
47 |
+
| Yolo-v6 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.092 ms | 0 - 15 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
48 |
+
| Yolo-v6 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 4.634 ms | 5 - 8 MB | FP16 | NPU | Use Export Script |
|
49 |
+
| Yolo-v6 | SA7255P ADP | SA7255P | TFLITE | 79.285 ms | 0 - 39 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
50 |
+
| Yolo-v6 | SA7255P ADP | SA7255P | QNN | 78.273 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
|
51 |
+
| Yolo-v6 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.103 ms | 0 - 16 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
52 |
+
| Yolo-v6 | SA8255 (Proxy) | SA8255P Proxy | QNN | 4.681 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
|
53 |
+
| Yolo-v6 | SA8295P ADP | SA8295P | TFLITE | 7.635 ms | 0 - 32 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
54 |
+
| Yolo-v6 | SA8295P ADP | SA8295P | QNN | 6.997 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
|
55 |
+
| Yolo-v6 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.093 ms | 0 - 12 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
56 |
+
| Yolo-v6 | SA8650 (Proxy) | SA8650P Proxy | QNN | 4.707 ms | 5 - 8 MB | FP16 | NPU | Use Export Script |
|
57 |
+
| Yolo-v6 | SA8775P ADP | SA8775P | TFLITE | 8.13 ms | 0 - 39 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
58 |
+
| Yolo-v6 | SA8775P ADP | SA8775P | QNN | 7.716 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
|
59 |
+
| Yolo-v6 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 6.562 ms | 0 - 37 MB | FP16 | NPU | [Yolo-v6.tflite](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.tflite) |
|
60 |
+
| Yolo-v6 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 6.393 ms | 5 - 44 MB | FP16 | NPU | Use Export Script |
|
61 |
+
| Yolo-v6 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.911 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
|
62 |
+
| Yolo-v6 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.355 ms | 8 - 8 MB | FP16 | NPU | [Yolo-v6.onnx](https://huggingface.co/qualcomm/Yolo-v6/blob/main/Yolo-v6.onnx) |
|
63 |
|
64 |
|
65 |
|
66 |
|
67 |
## Installation
|
68 |
|
|
|
69 |
|
70 |
+
Install the package via pip:
|
71 |
```bash
|
72 |
pip install qai-hub-models
|
73 |
```
|
|
|
123 |
Yolo-v6
|
124 |
Device : Samsung Galaxy S23 (13)
|
125 |
Runtime : TFLITE
|
126 |
+
Estimated inference time (ms) : 5.1
|
127 |
+
Estimated peak memory usage (MB): [0, 15]
|
128 |
Total # Ops : 182
|
129 |
Compute Unit(s) : NPU (182 ops)
|
130 |
```
|
|
|
151 |
torch_model = Model.from_pretrained()
|
152 |
|
153 |
# Device
|
154 |
+
device = hub.Device("Samsung Galaxy S24")
|
155 |
|
156 |
# Trace model
|
157 |
input_shape = torch_model.get_input_spec()
|
|
|
243 |
|
244 |
|
245 |
## License
|
246 |
+
* The license for the original implementation of Yolo-v6 can be found
|
247 |
+
[here](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE).
|
248 |
* The license for the compiled assets for on-device deployment can be found [here](https://github.com/meituan/YOLOv6/blob/47625514e7480706a46ff3c0cd0252907ac12f22/LICENSE)
|
249 |
|
250 |
|