PyTorch Hub cv2 .save() .show() bug fix (#2831)

* PyTorch Hub cv2 .save() .show() bug fix

cv2.rectangle() was failing on non-contiguous np array inputs. This checks for contiguous arrays and applies is necessary:
```python
imgs[i] = im if im.data.contiguous else np.ascontiguousarray(im)  # update
```

* Update plots.py

```python
assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
```

* Update hubconf.py

Expand CI tests to OpenCV image.

utils/plots.py

@@ -54,32 +54,34 @@ def butter_lowpass_filtfilt(data, cutoff=1500, fs=50000, order=5):
     return filtfilt(b, a, data)  # forward-backward filter
 
 
-def plot_one_box(x, img, color=None, label=None, line_thickness=3):
-    # Plots one bounding box on image img
-    tl = line_thickness or round(0.002 * (img.shape[0] + img.shape[1]) / 2) + 1  # line/font thickness
+def plot_one_box(x, im, color=None, label=None, line_thickness=3):
+    # Plots one bounding box on image 'im' using OpenCV
+    assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
+    tl = line_thickness or round(0.002 * (im.shape[0] + im.shape[1]) / 2) + 1  # line/font thickness
     color = color or [random.randint(0, 255) for _ in range(3)]
     c1, c2 = (int(x[0]), int(x[1])), (int(x[2]), int(x[3]))
-    cv2.rectangle(img, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
+    cv2.rectangle(im, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
     if label:
         tf = max(tl - 1, 1)  # font thickness
         t_size = cv2.getTextSize(label, 0, fontScale=tl / 3, thickness=tf)[0]
         c2 = c1[0] + t_size[0], c1[1] - t_size[1] - 3
-        cv2.rectangle(img, c1, c2, color, -1, cv2.LINE_AA)  # filled
-        cv2.putText(img, label, (c1[0], c1[1] - 2), 0, tl / 3, [225, 255, 255], thickness=tf, lineType=cv2.LINE_AA)
+        cv2.rectangle(im, c1, c2, color, -1, cv2.LINE_AA)  # filled
+        cv2.putText(im, label, (c1[0], c1[1] - 2), 0, tl / 3, [225, 255, 255], thickness=tf, lineType=cv2.LINE_AA)
 
 
-def plot_one_box_PIL(box, img, color=None, label=None, line_thickness=None):
-    img = Image.fromarray(img)
-    draw = ImageDraw.Draw(img)
-    line_thickness = line_thickness or max(int(min(img.size) / 200), 2)
+def plot_one_box_PIL(box, im, color=None, label=None, line_thickness=None):
+    # Plots one bounding box on image 'im' using PIL
+    im = Image.fromarray(im)
+    draw = ImageDraw.Draw(im)
+    line_thickness = line_thickness or max(int(min(im.size) / 200), 2)
     draw.rectangle(box, width=line_thickness, outline=tuple(color))  # plot
     if label:
-        fontsize = max(round(max(img.size) / 40), 12)
+        fontsize = max(round(max(im.size) / 40), 12)
         font = ImageFont.truetype("Arial.ttf", fontsize)
         txt_width, txt_height = font.getsize(label)
         draw.rectangle([box[0], box[1] - txt_height + 4, box[0] + txt_width, box[1]], fill=tuple(color))
         draw.text((box[0], box[1] - txt_height + 1), label, fill=(255, 255, 255), font=font)
-    return np.asarray(img)
+    return np.asarray(im)
 
 
 def plot_wh_methods():  # from utils.plots import *; plot_wh_methods()