Ankle/yolov5_birdproject
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Add save_dir to plot_lr_scheduler and plot_labels

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Set save_dir = log_dir in train.py
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Alex Stoken committed 2020-06-17 16:03:18 -05:00
1 parent 3b2b330872
commit 945307beba
3 files changed
+6 -6
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data/coco128.yaml
+2 -2
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@@ -8,8 +8,8 @@
# train and val datasets (image directory or *.txt file with image paths) # train and val datasets (image directory or *.txt file with image paths)
train: ../coco128/images/train2017/ train: C:/Users/astoken/projects/yolov5/data/coco/images/train2017
val: ../coco128/images/train2017/ val: C:/Users/astoken/projects/yolov5/data/coco/images/train2017
# number of classes # number of classes
nc: 80 nc: 80
train.py
+1 -1
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@@ -196,7 +196,7 @@ def train(hyp):
c = torch.tensor(labels[:, 0]) # classes c = torch.tensor(labels[:, 0]) # classes
# cf = torch.bincount(c.long(), minlength=nc) + 1. # cf = torch.bincount(c.long(), minlength=nc) + 1.
# model._initialize_biases(cf.to(device)) # model._initialize_biases(cf.to(device))
plot_labels(labels) plot_labels(labels, save_dir=log_dir)
tb_writer.add_histogram('classes', c, 0) tb_writer.add_histogram('classes', c, 0)
# Check anchors # Check anchors
utils/utils.py
+3 -3
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@@ -1025,7 +1025,7 @@ def plot_lr_scheduler(optimizer, scheduler, epochs=300, save_dir='./'):
plt.xlim(0, epochs) plt.xlim(0, epochs)
plt.ylim(0) plt.ylim(0)
plt.tight_layout() plt.tight_layout()
plt.savefig('LR.png', dpi=200) plt.savefig(os.path.join(save_dir, 'LR.png'), dpi=200)
def plot_test_txt(): # from utils.utils import *; plot_test() def plot_test_txt(): # from utils.utils import *; plot_test()
@@ -1088,7 +1088,7 @@ def plot_study_txt(f='study.txt', x=None): # from utils.utils import *; plot_st
plt.savefig(f.replace('.txt', '.png'), dpi=200) plt.savefig(f.replace('.txt', '.png'), dpi=200)
def plot_labels(labels): def plot_labels(labels, save_dir= '.'):
# plot dataset labels # plot dataset labels
c, b = labels[:, 0], labels[:, 1:].transpose() # classees, boxes c, b = labels[:, 0], labels[:, 1:].transpose() # classees, boxes
@@ -1109,7 +1109,7 @@ def plot_labels(labels):
ax[2].scatter(b[2], b[3], c=hist2d(b[2], b[3], 90), cmap='jet') ax[2].scatter(b[2], b[3], c=hist2d(b[2], b[3], 90), cmap='jet')
ax[2].set_xlabel('width') ax[2].set_xlabel('width')
ax[2].set_ylabel('height') ax[2].set_ylabel('height')
plt.savefig('labels.png', dpi=200) plt.savefig(os.path.join(save_dir,'labels.png'), dpi=200)
def plot_evolution_results(hyp): # from utils.utils import *; plot_evolution_results(hyp) def plot_evolution_results(hyp): # from utils.utils import *; plot_evolution_results(hyp)