|
--- |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: outlines |
|
sequence: |
|
sequence: uint8 |
|
- name: segments |
|
sequence: |
|
sequence: |
|
sequence: bool |
|
- name: id |
|
dtype: int64 |
|
- name: is_bad |
|
dtype: bool |
|
splits: |
|
- name: train |
|
num_bytes: 18811729165.83 |
|
num_examples: 16455 |
|
- name: val |
|
num_bytes: 3671501400.7200003 |
|
num_examples: 3209 |
|
- name: test |
|
num_bytes: 3602703436.986 |
|
num_examples: 3138 |
|
download_size: 4189102455 |
|
dataset_size: 26085934003.536003 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: val |
|
path: data/val-* |
|
- split: test |
|
path: data/test-* |
|
--- |
|
|
|
Processed data from the Soccernet 2023 dataset. Processing notebook is included in this repo. |
|
|
|
To see an example: |
|
```python |
|
|
|
def show_item(item): |
|
fig, axs = plt.subplots(nrows = 1, ncols = 4, figsize = (20, 4)) |
|
axs[0].imshow(item['image']) |
|
axs[0].set_title("Image") |
|
axs[0].axis('off') |
|
|
|
axs[1].imshow(overlay_mask(item['image'], item['outlines'])) |
|
axs[1].set_title("Outlines") |
|
axs[1].axis('off') |
|
|
|
axs[2].imshow(show_segments(item['segments'])) |
|
axs[2].set_title("Segments") |
|
axs[2].axis('off') |
|
# PART 3: GET MASK OUTLINES |
|
kernel = np.array([[0, 1, 0], |
|
[1, -4, 1], |
|
[0, 1, 0]]) |
|
segments = np.array(item['segments']).astype(np.uint8) |
|
class_edges = np.zeros(segments.shape[1:], dtype=int) |
|
|
|
for i in range(segments.shape[0]): |
|
edge = convolve(segments[i], kernel, mode='constant', cval=0) |
|
edge_detected = edge != 0 |
|
class_edges[edge_detected] = i |
|
|
|
axs[3].imshow(overlay_mask(item['image'], class_edges)) |
|
axs[3].set_title("Segments Outlines") |
|
axs[3].axis('off') |
|
if item['is_bad']: |
|
s = f"Bad ID: {item['id']}" |
|
else: |
|
s = f"ID: {item['id']}" |
|
fig.suptitle(s, fontsize = 8) |
|
plt.subplots_adjust(hspace = -0.2, wspace = -0.05) |
|
plt.show() |
|
|
|
show_item(dataset['train'][99]) |
|
``` |
