Update `check_requirements()` single install (#9353)

export.py

@@ -126,7 +126,7 @@ def export_torchscript(model, im, file, optimize, prefix=colorstr('TorchScript:'
 @try_export
 def export_onnx(model, im, file, opset, train, dynamic, simplify, prefix=colorstr('ONNX:')):
     # YOLOv5 ONNX export
-    check_requirements(('onnx',))
+    check_requirements('onnx')
     import onnx
 
     LOGGER.info(f'\n{prefix} starting export with onnx {onnx.__version__}...')
@@ -182,7 +182,7 @@ def export_onnx(model, im, file, opset, train, dynamic, simplify, prefix=colorst
 @try_export
 def export_openvino(model, file, half, prefix=colorstr('OpenVINO:')):
     # YOLOv5 OpenVINO export
-    check_requirements(('openvino-dev',))  # requires openvino-dev: https://pypi.org/project/openvino-dev/
+    check_requirements('openvino-dev')  # requires openvino-dev: https://pypi.org/project/openvino-dev/
     import openvino.inference_engine as ie
 
     LOGGER.info(f'\n{prefix} starting export with openvino {ie.__version__}...')
@@ -198,7 +198,7 @@ def export_openvino(model, file, half, prefix=colorstr('OpenVINO:')):
 @try_export
 def export_coreml(model, im, file, int8, half, prefix=colorstr('CoreML:')):
     # YOLOv5 CoreML export
-    check_requirements(('coremltools',))
+    check_requirements('coremltools')
     import coremltools as ct
 
     LOGGER.info(f'\n{prefix} starting export with coremltools {ct.__version__}...')
@@ -226,7 +226,7 @@ def export_engine(model, im, file, half, dynamic, simplify, workspace=4, verbose
         import tensorrt as trt
     except Exception:
         if platform.system() == 'Linux':
-            check_requirements(('nvidia-tensorrt',), cmds=('-U --index-url https://pypi.ngc.nvidia.com',))
+            check_requirements('nvidia-tensorrt', cmds=['-U --index-url https://pypi.ngc.nvidia.com'])
         import tensorrt as trt
 
     if trt.__version__[0] == '7':  # TensorRT 7 handling https://github.com/ultralytics/yolov5/issues/6012
@@ -405,7 +405,7 @@ def export_edgetpu(file, prefix=colorstr('Edge TPU:')):
 @try_export
 def export_tfjs(file, prefix=colorstr('TensorFlow.js:')):
     # YOLOv5 TensorFlow.js export
-    check_requirements(('tensorflowjs',))
+    check_requirements('tensorflowjs')
     import re
 
     import tensorflowjs as tfjs
@@ -516,7 +516,7 @@ def run(
     # TensorFlow Exports
     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`
+            check_requirements('flatbuffers==1.12')  # required before `import tensorflow`
         assert not tflite or not tfjs, 'TFLite and TF.js models must be exported separately, please pass only one type.'
         assert not isinstance(model, ClassificationModel), 'ClassificationModel export to TF formats not yet supported.'
         f[5], model = export_saved_model(model.cpu(),

models/common.py

@@ -347,7 +347,7 @@ class DetectMultiBackend(nn.Module):
                 stride, names = int(d['stride']), d['names']
         elif dnn:  # ONNX OpenCV DNN
             LOGGER.info(f'Loading {w} for ONNX OpenCV DNN inference...')
-            check_requirements(('opencv-python>=4.5.4',))
+            check_requirements('opencv-python>=4.5.4')
             net = cv2.dnn.readNetFromONNX(w)
         elif onnx:  # ONNX Runtime
             LOGGER.info(f'Loading {w} for ONNX Runtime inference...')
@@ -362,7 +362,7 @@ class DetectMultiBackend(nn.Module):
                 stride, names = int(meta['stride']), eval(meta['names'])
         elif xml:  # OpenVINO
             LOGGER.info(f'Loading {w} for OpenVINO inference...')
-            check_requirements(('openvino',))  # requires openvino-dev: https://pypi.org/project/openvino-dev/
+            check_requirements('openvino')  # requires openvino-dev: https://pypi.org/project/openvino-dev/
             from openvino.runtime import Core, Layout, get_batch
             ie = Core()
             if not Path(w).is_file():  # if not *.xml

utils/general.py

@@ -342,39 +342,37 @@ def check_version(current='0.0.0', minimum='0.0.0', name='version ', pinned=Fals
 
 @TryExcept()
 def check_requirements(requirements=ROOT / 'requirements.txt', exclude=(), install=True, cmds=()):
-    # Check installed dependencies meet YOLOv5 requirements (pass *.txt file or list of packages)
+    # Check installed dependencies meet YOLOv5 requirements (pass *.txt file or list of packages or single package str)
     prefix = colorstr('red', 'bold', 'requirements:')
     check_python()  # check python version
-    if isinstance(requirements, (str, Path)):  # requirements.txt file
-        file = Path(requirements)
+    if isinstance(requirements, Path):  # requirements.txt file
+        file = requirements
         assert file.exists(), f"{prefix} {file.resolve()} not found, check failed."
         with file.open() as f:
             requirements = [f'{x.name}{x.specifier}' for x in pkg.parse_requirements(f) if x.name not in exclude]
-    else:  # list or tuple of packages
-        requirements = [x for x in requirements if x not in exclude]
+    elif isinstance(requirements, str):
+        requirements = [requirements]
 
-    n = 0  # number of packages updates
-    for i, r in enumerate(requirements):
+    s = ''
+    n = 0
+    for r in requirements:
         try:
             pkg.require(r)
-        except Exception:  # DistributionNotFound or VersionConflict if requirements not met
-            s = f"{prefix} {r} not found and is required by YOLOv5"
-            if install and AUTOINSTALL:  # check environment variable
-                LOGGER.info(f"{s}, attempting auto-update...")
-                try:
-                    assert check_online(), f"'pip install {r}' skipped (offline)"
-                    LOGGER.info(check_output(f'pip install "{r}" {cmds[i] if cmds else ""}', shell=True).decode())
-                    n += 1
-                except Exception as e:
-                    LOGGER.warning(f'{prefix} {e}')
-            else:
-                LOGGER.info(f'{s}. Please install and rerun your command.')
-
-    if n:  # if packages updated
-        source = file.resolve() if 'file' in locals() else requirements
-        s = f"{prefix} {n} package{'s' * (n > 1)} updated per {source}\n" \
-            f"{prefix} ⚠️ {colorstr('bold', 'Restart runtime or rerun command for updates to take effect')}\n"
-        LOGGER.info(s)
+        except (pkg.VersionConflict, pkg.DistributionNotFound):  # exception if requirements not met
+            s += f'"{r}" '
+            n += 1
+
+    if s and install and AUTOINSTALL:  # check environment variable
+        LOGGER.info(f"{prefix} YOLOv5 requirements {s}not found, attempting AutoUpdate...")
+        try:
+            assert check_online(), "AutoUpdate skipped (offline)"
+            LOGGER.info(check_output(f'pip install {s} {" ".join(cmds) if cmds else ""}', shell=True).decode())
+            source = file.resolve() if 'file' in locals() else requirements
+            s = f"{prefix} {n} package{'s' * (n > 1)} updated per {source}\n" \
+                f"{prefix} ⚠️ {colorstr('bold', 'Restart runtime or rerun command for updates to take effect')}\n"
+            LOGGER.info(s)
+        except Exception as e:
+            LOGGER.warning(f'{prefix} {e}')
 
 
 def check_img_size(imgsz, s=32, floor=0):

val.py

@@ -301,7 +301,7 @@ def run(
             json.dump(jdict, f)
 
         try:  # https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoEvalDemo.ipynb
-            check_requirements(['pycocotools'])
+            check_requirements('pycocotools')
             from pycocotools.coco import COCO
             from pycocotools.cocoeval import COCOeval
 
@@ -360,7 +360,7 @@ def parse_opt():
 
 
 def main(opt):
-    check_requirements(requirements=ROOT / 'requirements.txt', exclude=('tensorboard', 'thop'))
+    check_requirements(exclude=('tensorboard', 'thop'))
 
     if opt.task in ('train', 'val', 'test'):  # run normally
         if opt.conf_thres > 0.001:  # https://github.com/ultralytics/yolov5/issues/1466