Yes, you can add an option to set the minimum and maximum depth values for the color map in the function. Here's an updated version of the function with the new option:

```python
from matplotlib import colors
import matplotlib.pyplot as plt

def depth_to_colormap(depth, colorlist, vmin=None, vmax=None):
cmap = colors.LinearSegmentedColormap.from_list('depth_colormap', colorlist)
fig, ax = plt.subplots()
colormap = ax.imshow(depth, aspect="auto", origin="upper", cmap=cmap, vmin=vmin, vmax=vmax)
cbar = fig.colorbar(colormap, ax=ax)
return
```

The vmin and vmax arguments set the minimum and maximum values for the color map, respectively. You can pass None for either or both arguments to use the default minimum and maximum values. Here's an example of how to use the new option:

```python
randDepth = np.random.rand(64, 64)
colorlist = ['#FF0000', '#00FF00', '#0000FF']
depth_to_colormap(randDepth, colorlist, vmin=0, vmax=1)
plt.show()
```

In this example, the minimum value for the color map is set to 0 and the maximum value is set to 1.
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