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Use export_formats() in export.py #6705

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Merged
glenn-jocher merged 2 commits into from
Feb 19, 2022
Merged

Use export_formats() in export.py #6705

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129285f
Use `export_formats()` in export.py
glenn-jocher Feb 19, 2022
5c7d1ab
list fix
glenn-jocher Feb 19, 2022
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22 changes: 12 additions & 10 deletions export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -433,9 +433,12 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path'
conf_thres=0.25 # TF.js NMS: confidence threshold
):
t = time.time()
include = [x.lower() for x in include]
tf_exports = list(x in include for x in ('saved_model', 'pb', 'tflite', 'edgetpu', 'tfjs')) # TensorFlow exports
file = Path(url2file(weights) if str(weights).startswith(('http:/', 'https:/')) else weights)
include = [x.lower() for x in include] # to lowercase
formats = tuple(export_formats()['Argument'][1:]) # --include arguments
flags = [x in include for x in formats]
assert sum(flags) == len(include), f'ERROR: Invalid --include {include}, valid --include arguments are {formats}'
jit, onnx, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs = flags # export booleans
file = Path(url2file(weights) if str(weights).startswith(('http:/', 'https:/')) else weights) # PyTorch weights

# Load PyTorch model
device = select_device(device)
Expand Down Expand Up @@ -475,20 +478,19 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path'
# Exports
f = [''] * 10 # exported filenames
warnings.filterwarnings(action='ignore', category=torch.jit.TracerWarning) # suppress TracerWarning
if 'torchscript' in include:
if jit:
f[0] = export_torchscript(model, im, file, optimize)
if 'engine' in include: # TensorRT required before ONNX
if engine: # TensorRT required before ONNX
f[1] = export_engine(model, im, file, train, half, simplify, workspace, verbose)
if ('onnx' in include) or ('openvino' in include): # OpenVINO requires ONNX
if onnx or xml: # OpenVINO requires ONNX
f[2] = export_onnx(model, im, file, opset, train, dynamic, simplify)
if 'openvino' in include:
if xml: # OpenVINO
f[3] = export_openvino(model, im, file)
if 'coreml' in include:
if coreml:
_, f[4] = export_coreml(model, im, file)

# TensorFlow Exports
if any(tf_exports):
pb, tflite, edgetpu, tfjs = tf_exports[1:]
if any((saved_model, pb, tflite, edgetpu, tfjs)):
if int8 or edgetpu: # TFLite --int8 bug https://github.com/ultralytics/yolov5/issues/5707
check_requirements(('flatbuffers==1.12',)) # required before `import tensorflow`
assert not (tflite and tfjs), 'TFLite and TF.js models must be exported separately, please pass only one type.'
Expand Down