Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-06-01 18:29:14 +02:00
parent 7807337c5f
commit c46e156ff8
2 changed files with 23 additions and 0 deletions
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4
test.py
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@ -89,6 +89,10 @@ def test(
stats.append(([], torch.Tensor(), torch.Tensor(), tcls)) stats.append(([], torch.Tensor(), torch.Tensor(), tcls))
continue continue
# Append to text file
# with open('test.txt', 'a') as file:
# [file.write('%11.5g' * 7 % tuple(x) + '\n') for x in pred]
# Append to pycocotools JSON dictionary # Append to pycocotools JSON dictionary
if save_json: if save_json:
# [{"image_id": 42, "category_id": 18, "bbox": [258.15, 41.29, 348.26, 243.78], "score": 0.236}, ... # [{"image_id": 42, "category_id": 18, "bbox": [258.15, 41.29, 348.26, 243.78], "score": 0.236}, ...

19
utils/utils.py
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@ -599,6 +599,25 @@ def plot_images(imgs, targets, fname='images.jpg'):
plt.close() plt.close()
def plot_test_txt(): # from test import *; plot_test()
# Plot test.txt histograms
x = np.loadtxt('test.txt', dtype=np.float32)
box = xyxy2xywh(x[:, :4])
cx, cy = box[:, 0], box[:, 1]
fig, ax = plt.subplots(1, 1, figsize=(6, 6))
ax.hist2d(cx, cy, bins=600, cmax=10, cmin=0)
ax.set_aspect('equal')
fig.tight_layout()
plt.savefig('hist2d.jpg', dpi=300)
fig, ax = plt.subplots(1, 2, figsize=(12, 6))
ax[0].hist(cx, bins=600)
ax[1].hist(cy, bins=600)
fig.tight_layout()
plt.savefig('hist1d.jpg', dpi=300)
def plot_results(start=0, stop=0): # from utils.utils import *; plot_results() def plot_results(start=0, stop=0): # from utils.utils import *; plot_results()
# Plot training results files 'results*.txt' # Plot training results files 'results*.txt'
# import os; os.system('wget https://storage.googleapis.com/ultralytics/yolov3/results_v3.txt') # import os; os.system('wget https://storage.googleapis.com/ultralytics/yolov3/results_v3.txt')