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Merged
glenn-jocher merged 1 commit into from
Feb 1, 2021
Merged

Update plot_study() #2112

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2 changes: 1 addition & 1 deletion models/hub/yolov5l6.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ head:

[ -1, 1, Conv, [ 768, 3, 2 ] ],
[ [ -1, 12 ], 1, Concat, [ 1 ] ], # cat head P6
[ -1, 3, C3, [ 1024, False ] ], # 32 (P5/64-xlarge)
[ -1, 3, C3, [ 1024, False ] ], # 32 (P6/64-xlarge)

[ [ 23, 26, 29, 32 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5, P6)
]
2 changes: 1 addition & 1 deletion models/hub/yolov5m6.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ head:

[ -1, 1, Conv, [ 768, 3, 2 ] ],
[ [ -1, 12 ], 1, Concat, [ 1 ] ], # cat head P6
[ -1, 3, C3, [ 1024, False ] ], # 32 (P5/64-xlarge)
[ -1, 3, C3, [ 1024, False ] ], # 32 (P6/64-xlarge)

[ [ 23, 26, 29, 32 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5, P6)
]
2 changes: 1 addition & 1 deletion models/hub/yolov5s6.yaml
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Expand Up @@ -54,7 +54,7 @@ head:

[ -1, 1, Conv, [ 768, 3, 2 ] ],
[ [ -1, 12 ], 1, Concat, [ 1 ] ], # cat head P6
[ -1, 3, C3, [ 1024, False ] ], # 32 (P5/64-xlarge)
[ -1, 3, C3, [ 1024, False ] ], # 32 (P6/64-xlarge)

[ [ 23, 26, 29, 32 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5, P6)
]
2 changes: 1 addition & 1 deletion models/hub/yolov5x6.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ head:

[ -1, 1, Conv, [ 768, 3, 2 ] ],
[ [ -1, 12 ], 1, Concat, [ 1 ] ], # cat head P6
[ -1, 3, C3, [ 1024, False ] ], # 32 (P5/64-xlarge)
[ -1, 3, C3, [ 1024, False ] ], # 32 (P6/64-xlarge)

[ [ 23, 26, 29, 32 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5, P6)
]
19 changes: 10 additions & 9 deletions utils/plots.py
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Expand Up @@ -226,16 +226,17 @@ def plot_targets_txt(): # from utils.plots import *; plot_targets_txt()
def plot_study_txt(path='', x=None): # from utils.plots import *; plot_study_txt()
# Plot study.txt generated by test.py
fig, ax = plt.subplots(2, 4, figsize=(10, 6), tight_layout=True)
ax = ax.ravel()
# ax = ax.ravel()

fig2, ax2 = plt.subplots(1, 1, figsize=(8, 4), tight_layout=True)
for f in [Path(path) / f'study_coco_{x}.txt' for x in ['yolov5s', 'yolov5m', 'yolov5l', 'yolov5x']]:
# for f in [Path(path) / f'study_coco_{x}.txt' for x in ['yolov5s', 'yolov5m', 'yolov5l', 'yolov5x']]:
for f in sorted(Path(path).glob('study*.txt')):
y = np.loadtxt(f, dtype=np.float32, usecols=[0, 1, 2, 3, 7, 8, 9], ndmin=2).T
x = np.arange(y.shape[1]) if x is None else np.array(x)
s = ['P', 'R', 'mAP@.5', 'mAP@.5:.95', 't_inference (ms/img)', 't_NMS (ms/img)', 't_total (ms/img)']
for i in range(7):
ax[i].plot(x, y[i], '.-', linewidth=2, markersize=8)
ax[i].set_title(s[i])
# for i in range(7):
# ax[i].plot(x, y[i], '.-', linewidth=2, markersize=8)
# ax[i].set_title(s[i])

j = y[3].argmax() + 1
ax2.plot(y[6, :j], y[3, :j] * 1E2, '.-', linewidth=2, markersize=8,
Expand All @@ -244,14 +245,14 @@ def plot_study_txt(path='', x=None): # from utils.plots import *; plot_study_tx
ax2.plot(1E3 / np.array([209, 140, 97, 58, 35, 18]), [34.6, 40.5, 43.0, 47.5, 49.7, 51.5],
'k.-', linewidth=2, markersize=8, alpha=.25, label='EfficientDet')

ax2.grid()
ax2.set_yticks(np.arange(30, 60, 5))
ax2.grid(alpha=0.2)
ax2.set_yticks(np.arange(20, 60, 5))
ax2.set_xlim(0, 30)
ax2.set_ylim(29, 51)
ax2.set_ylim(30, 55)
ax2.set_xlabel('GPU Speed (ms/img)')
ax2.set_ylabel('COCO AP val')
ax2.legend(loc='lower right')
plt.savefig('test_study.png', dpi=300)
plt.savefig(str(Path(path).name) + '.png', dpi=300)


def plot_labels(labels, save_dir=Path(''), loggers=None):
Expand Down