Adding examples to demo

.gitignore

@@ -4,5 +4,6 @@ IgnoreMe/*
 results/*
 models/YOLOv8/*/
 src/__pycache__/
+__debug/*
 .vscode
 yolov8n.pt
\ No newline at end of file

README.md

 # Copula-based conformal bounding box prediction
 
 ## Full report
-- [Copula-based conformal prediction for object detection:  a more efficient approach](full_report.pdf)
+- [Copula-based conformal prediction for object detection:  a more efficient approach](@PMLR/COPA2024/our_paper.pdf)
 
 <!-- 🚩  - Checkout demo.ipynb for more details about the results ⚠️ -->
 
@@ -12,6 +12,7 @@
 
 ## How to reproduce experiments
 - run setup.sh
+- fill experiments.yaml
 - run experiments.py
 - run demo.ipynb
 

experiments.yaml

@@ -23,6 +23,6 @@ OD algos:
   YOLOv8 D.: True
   training:
     epochs: 20
-    validation sample size: 500
+    validation sample size: 500   #only to check for overfitting
     from_scratch: False
     device: 'cuda:2'

src/data.py

@@ -126,7 +126,8 @@ class SyntheticResiduals(Dataset):
         
     def gen_uncorrelated_residues(self, max: List = [2.8, 2.5, 8, 2.5],
                                   min: List = [0] * 4) -> np.ndarray:
-        residues = np.random.uniform(min, max, (1, len(self.means)))
+        n = self.size
+        residues = np.random.uniform(min, max, (n, len(self.means)))
         return residues
         
     def gen_correlated_residues(self,) -> np.ndarray: