matplotlib installation

README.md

@@ -59,6 +59,7 @@ For quick installation, do not clone this repository, make sure there is no fold
 
 ```
 pip3 install monoloco
+pip3 install matplotlib
 ```
 
 For development of the source code itself, you need to clone this repository and then:
@@ -186,6 +187,10 @@ An example from the Collective Activity Dataset is provided below.
 
 To visualize social distancing run the below, command:
 
+```sh
+pip install scipy
+```
+
 ```sh
 python -m monoloco.run predict docs/frame0032.jpg \
 --activities social_distance --output_types front bird 
@@ -196,6 +201,10 @@ python -m monoloco.run predict docs/frame0032.jpg \
 ## C) Hand-raising detection
 To detect raised hand, you can add the argument `--activities raise_hand` to the prediction command.
 
+For example, the below image is obtained with:
+```sh
+python -m monoloco.run predict --activities raise_hand social_distance output_types front
+```
 
 <img src="docs/out_raising_hand.jpg.front.jpg" width="500"/>
 

monoloco/train/trainer.py

@@ -16,7 +16,11 @@
 import time
 from itertools import chain
 
-import matplotlib.pyplot as plt
+try:
+    import matplotlib.pyplot as plt
+except ImportError:
+    plt = None
+
 import torch
 from torch.utils.data import DataLoader
 from torch.optim import lr_scheduler
@@ -328,6 +332,10 @@ def _print_losses(self, epoch_losses):
         if not self.print_loss:
             return
         os.makedirs(self.dir_figures, exist_ok=True)
+
+        if plt is None:
+            raise Exception('please install matplotlib')
+
         for idx, phase in enumerate(epoch_losses):
             for idx_2, el in enumerate(epoch_losses['train']):
                 plt.figure(idx + idx_2)

monoloco/visuals/pifpaf_show.py

@@ -11,14 +11,11 @@
 import numpy as np
 from PIL import Image
 
-try:
-    import matplotlib
-    import matplotlib.pyplot as plt
-    from matplotlib.patches import Circle, FancyArrow
-    import scipy.ndimage as ndimage
-except ImportError:
-    ndimage = None
-    plt = None
+
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.patches import Circle, FancyArrow
+import scipy.ndimage as ndimage
 
 
 COCO_PERSON_SKELETON = [
@@ -49,6 +46,10 @@ def image_canvas(image, fig_file=None, show=True, dpi_factor=1.0, fig_width=10.0
     if 'figsize' not in kwargs:
         kwargs['figsize'] = (fig_width, fig_width * image.size[1] / image.size[0])
 
+    if plt is None:
+        raise Exception('please install matplotlib')
+    if ndimage is None:
+        raise Exception('please install scipy')
     fig = plt.figure(**kwargs)
     ax = plt.Axes(fig, [0.0, 0.0, 1.0, 1.0])
     ax.set_axis_off()

monoloco/visuals/printer.py

@@ -37,7 +37,7 @@ def image_attributes(dpi, output_types):
                 mono=dict(color='red',
                           numcolor='firebrick',
                           linewidth=2 * c)
-    )
+                )
 
 
 class Printer: