o
    Ďik                      @   sJ  d Z ddlZddlZddlZddlZddlmZ ddlZee	
 Zejd Zeeejvr6ejee ddlZddlmZ ddlmZ ddlmZ ddlmZ ddlmZmZmZm Z  dd	l!m"Z" ddl#mZ$ d
dddded dddddfddZed
 dded dddddf	ddZ%dd Z&dd Z'dd Z(e)dkre(  dS dS )a  
Run YOLOv5 benchmarks on all supported export formats

Format                      | `export.py --include`         | Model
---                         | ---                           | ---
PyTorch                     | -                             | yolov5s.pt
TorchScript                 | `torchscript`                 | yolov5s.torchscript
ONNX                        | `onnx`                        | yolov5s.onnx
OpenVINO                    | `openvino`                    | yolov5s_openvino_model/
TensorRT                    | `engine`                      | yolov5s.engine
CoreML                      | `coreml`                      | yolov5s.mlmodel
TensorFlow SavedModel       | `saved_model`                 | yolov5s_saved_model/
TensorFlow GraphDef         | `pb`                          | yolov5s.pb
TensorFlow Lite             | `tflite`                      | yolov5s.tflite
TensorFlow Edge TPU         | `edgetpu`                     | yolov5s_edgetpu.tflite
TensorFlow.js               | `tfjs`                        | yolov5s_web_model/

Requirements:
    $ pip install -r requirements.txt coremltools onnx onnx-simplifier onnxruntime openvino-dev tensorflow-cpu  # CPU
    $ pip install -r requirements.txt coremltools onnx onnx-simplifier onnxruntime-gpu openvino-dev tensorflow  # GPU
    $ pip install -U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com  # TensorRT

Usage:
    $ yolov5 benchmarks --weights yolov5s.pt --img 640
    N)Path)attempt_load)SegmentationModelrun)notebook_init)LOGGER
check_yaml	file_size
print_args)select_device
yolov5s.ptdata/coco128.yaml Fc                    s  |d u r|d u rd}n|d ur|}|d u r|d u rd}n|d ur"|}g t   }}t|}tt| dd}tj  D ]\}\}}}}}z|dvsNJ d|dks\t	 dks\J d	d
|jv rg|sgJ dd|jv rr|srJ d|dkry| }ntjj
| |g|g||dd }|t|v sJ d|tkrt||||d|d|d}|d d }nt||||d|d|d}|d d }|d d }||tt|dt|dt|dg W n9 ty } z,|
rt|tu sJ d| d| td| d|  ||d d d g W Y d }~nd }~ww |	r|dkr nq<td t  tr*g dng d}tj||d}td t   | d!d" tttrK|n
|jd d d df  |
r}t|
tr}|d# j}t|
 t fd$d%|D s}J d&  |S )'N     F)fuse)	   
   zinference not supported   Darwinz(inference only supported on macOS>=10.13cpuzinference not supported on CPUcudazinference not supported on GPU-weightsimgszincludedevicehalfexport failedspeed)plotsr   taskr   r               zBenchmark --hard-fail for z: u%   WARNING ⚠️ Benchmark failure for 
)Formatz	Size (MB)mAP50-95zInference time (ms))r*   Exportr   r   columnsz
Benchmarks complete (.2fs)r+   c                 3   s"    | ]}t |r| kV  qd S )N)pdnotna).0xfloor M/home/jeff/fluffinator/venv/lib/python3.10/site-packages/yolov5/benchmarks.py	<genexpr>y   s     zrun.<locals>.<genexpr>zHARD FAIL: mAP50-95 < floor ) timer   typer   yolov5exportexport_formatsiterrowsplatformsystemr   strr   val_segval_detappendroundr
   	ExceptionAssertionErrorr   warninginfor   mapr1   	DataFrameiloc
isinstancearrayevalall)r   r   img
batch_sizebatchdatar   r   testpt_only	hard_failyt
model_typeinamefsuffixr   gpuwresultmetricr"   ecpymetricsr7   r5   r8   r   4   sf    

, 
*
&r   r   r   c	              	   C   s   g t   }	}
t|}tj  D ]@\}\}}}}z(|dkr!| ntjj| |g|g||dd }|t|v s:J d|	|dg W q t	yR   |	|dg Y qw t
d t  t  tj|	dd	gd
}t
dt   |
 dd t
t| |S )Nr   r   r    r!   TFr)   r*   r,   r-   z
Exports complete (r/   r0   )r:   r   r<   r=   r>   r?   r   rB   rE   rG   r   rJ   	parse_optr   r1   rL   )r   r   rS   rU   r   r   rV   rW   rX   rY   rZ   r\   r]   r^   r_   r`   ra   rf   r7   r7   r8   rV   }   s&   
rV   c                  K   s   t di | }dS )z&
    To be called from yolov5.cli
    Nr7   r   )kwargs_r7   r7   r8   run_cli   s   rk   c                  C   s   t  } | jdtddd | jdddtdd	d | jd
tddd | jdttd dd | jdddd | jdddd | jdddd | jdddd | jddddd d! |  }t|j|_t	t
| |S )"Nz	--weightsr   zweights path)r;   defaulthelpz--imgszz--imgz
--img-sizer   zinference size (pixels)z--batch-sizer   z
batch sizez--datar   zdataset.yaml pathz--devicer   z%cuda device, i.e. 0 or 0,1,2,3 or cpu)rl   rm   z--half
store_truez!use FP16 half-precision inference)actionrm   z--testztest exports onlyz	--pt-onlyztest PyTorch onlyz--hard-fail?TFz"Exception on error or < min metric)nargsconstrl   rm   )argparseArgumentParseradd_argumentrB   intROOT
parse_argsr	   rU   r   vars)parseroptr7   r7   r8   rh      s   rh   c                  C   s8   t  } | jrtdi t|  d S tdi t|  d S )Nr7   )rh   rV   ry   r   )r{   r7   r7   r8   main   s   2r|   __main__)*__doc__rs   r@   sysr:   pathlibr   pandasr1   __file__resolveFILEparentsrw   rB   pathrE   yolov5.exportr<   yolov5.models.experimentalr   yolov5.models.yolor   yolov5.segment.valr   rC   yolov5.utilsr   yolov5.utils.generalr   r	   r
   r   yolov5.utils.torch_utilsr   
yolov5.valrD   rV   rk   rh   r|   __name__r7   r7   r7   r8   <module>   s^   

J
 
