Update ci-testing.yml (#445)

* Update ci-testing.yml

* Update ci-testing.yml

* Update requirements.txt

* Update requirements.txt

* Update google_utils.py

* Update test.py

* Update ci-testing.yml

.github/workflows/ci-testing.yml

@@ -10,9 +10,9 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest]  # [ubuntu-latest, macos-latest, windows-latest]
+        os: [ubuntu-latest, macos-latest, windows-latest]
         python-version: [3.8]
-        model: ['yolov5s', 'yolov5m', 'yolov5l', 'yolov5x']  # models to test
+        model: ['yolov5s']  # models to test
 
     # Timeout: https://stackoverflow.com/a/59076067/4521646
     timeout-minutes: 50
@@ -41,7 +41,6 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install -q numpy  # for cocoapi proper install
         pip install -qr requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
         pip install -q onnx
         python --version

requirements.txt

@@ -10,7 +10,7 @@ PyYAML>=5.3
 torchvision>=0.6
 scipy
 tqdm
-pycocotools>=2.0
+# pycocotools>=2.0
 
 # Nvidia Apex (optional) for mixed precision training --------------------------
 # git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex

test.py

@@ -220,8 +220,8 @@ def test(data,
             cocoEval.accumulate()
             cocoEval.summarize()
             map, map50 = cocoEval.stats[:2]  # update results ([email protected]:0.95, [email protected])
-        except:
-            print('pycocotools not evaluated')
+        except Exception as e:
+            print('ERROR: pycocotools unable to run: %s' % e)
 
     # Return results
     model.float()  # for training

utils/google_utils.py

@@ -51,7 +51,7 @@ def gdrive_download(id='1n_oKgR81BJtqk75b00eAjdv03qVCQn2f', name='coco128.zip'):
         s = "curl -Lb ./cookie \"drive.google.com/uc?export=download&confirm=`awk '/download/ {print $NF}' ./cookie`&id=%s\" -o %s" % (
             id, name)
     else:  # small file
-        s = "curl -s -L -o %s 'drive.google.com/uc?export=download&id=%s'" % (name, id)
+        s = 'curl -s -L -o %s "drive.google.com/uc?export=download&id=%s"' % (name, id)
     r = os.system(s)  # execute, capture return values
     os.remove('cookie') if os.path.exists('cookie') else None