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update readme.md and comments
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BubblyYi committed Aug 13, 2020
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1 change: 0 additions & 1 deletion ostiapoints_train_tools/ostia_train_tools.py
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Expand Up @@ -36,7 +36,6 @@ def get_dataset(save_num=0):
curr_model_name = "ostiapoints_net"
model = OstiapointsNet()

# 参数设定
batch_size = 64
num_workers = 16

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6 changes: 5 additions & 1 deletion readme.md
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Expand Up @@ -38,7 +38,7 @@ The number of output channels is equal to the number of potential directions in
The architecture of seedspint_net and ostiapoint_net are very similar to centerline_net. The only difference is in the output layer: instead of combining classification and regression, the final layer only performs regression.
```

# Preparing Environmental
# Requirement
```bash
$ pip install -r requirement.txt
```
Expand Down Expand Up @@ -153,6 +153,10 @@ The predict vessel tree is shown in the figure below
```
The vessels from different seed points are spliced by breadth-first search, and then a complete single vessel is generated by depth-first search
```

Seedpoints net will generate 200 seed points as shown in the figure below.
![](./example_images/seeds_points.jpg)
It can be seen that the seed points are distributed near several coronary arteries
# References

```
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1 change: 0 additions & 1 deletion seedspoints_train_tools/seeds_trainner.py
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Expand Up @@ -77,7 +77,6 @@ def train_step(self, epoch):

return train_loss / len(self.train_loader)

# 验证模型
def val_step(self, epoch):
self.model.eval()
test_loss = 0.
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