feat: update workspace paths and enhance gitignore

- Updated stablediffusion crate path from "../stable-diffusion-burn" to "./crates/stable-diffusion-burn" for proper workspace resolution
- Enhanced .gitignore to include generated model files (.mpk, .pt, .bin, .safetensors, .ckpt) and user_data directory
- Added Cargo.lock to gitignore with appropriate comment
- Reorganized IDE files section in gitignore for better clarity
- Added newline at end of file for proper formatting

crates/stable-diffusion-burn/burn-crates/burn-vision/tests/nms.rs

@@ -0,0 +1,92 @@
+use burn_vision::{Nms, NmsOptions};
+
+mod common;
+use common::*;
+
+#[test]
+fn should_suppress_non_maximum() {
+    let boxes = TestTensor::<2>::from([
+        [0, 0, 100, 100],
+        [0, 1, 100, 100],
+        [0, 101, 200, 200],
+        [0, 100, 200, 200],
+        [0, 170, 300, 300],
+    ]);
+    let scores = TestTensor::<1>::from([0.1, 0.2, 0.4, 0.3, 0.5]);
+    let options = NmsOptions {
+        iou_threshold: 0.5,
+        score_threshold: 0.0,
+        max_output_boxes: 0,
+    };
+
+    let output = boxes.nms(scores, options);
+
+    let expected = TestTensorInt::<1>::from([4, 2, 1]);
+    output.into_data().assert_eq(&expected.into_data(), true);
+}
+
+#[test]
+fn should_apply_score_threshold() {
+    let boxes = TestTensor::<2>::from([
+        [0, 0, 100, 100],
+        [0, 1, 100, 100],
+        [0, 101, 200, 200],
+        [0, 100, 200, 200],
+        [0, 170, 300, 300],
+    ]);
+    let scores = TestTensor::<1>::from([0.1, 0.2, 0.4, 0.3, 0.5]);
+    let options = NmsOptions {
+        iou_threshold: 0.5,
+        score_threshold: 0.3,
+        max_output_boxes: 0,
+    };
+
+    let output = boxes.nms(scores, options);
+
+    let expected = TestTensorInt::<1>::from([4, 2]);
+    output.into_data().assert_eq(&expected.into_data(), true);
+}
+
+#[test]
+fn should_apply_iou_threshold() {
+    let boxes = TestTensor::<2>::from([
+        [0, 0, 100, 100],
+        [0, 1, 100, 100],
+        [0, 101, 200, 200],
+        [0, 100, 200, 200],
+        [0, 170, 300, 300],
+    ]);
+    let scores = TestTensor::<1>::from([0.1, 0.2, 0.4, 0.3, 0.5]);
+    let options = NmsOptions {
+        iou_threshold: 0.1,
+        score_threshold: 0.0,
+        max_output_boxes: 0,
+    };
+
+    let output = boxes.nms(scores, options);
+
+    let expected = TestTensorInt::<1>::from([4, 1]);
+    output.into_data().assert_eq(&expected.into_data(), true);
+}
+
+#[test]
+fn should_apply_max_output_boxes() {
+    let boxes = TestTensor::<2>::from([
+        [0, 0, 100, 100],
+        [0, 1, 100, 100],
+        [0, 101, 200, 200],
+        [0, 100, 200, 200],
+        [0, 170, 300, 300],
+    ]);
+    let scores = TestTensor::<1>::from([0.1, 0.2, 0.4, 0.3, 0.5]);
+    let options = NmsOptions {
+        iou_threshold: 0.5,
+        score_threshold: 0.0,
+        max_output_boxes: 1,
+    };
+
+    let output = boxes.nms(scores, options);
+
+    let expected = TestTensorInt::<1>::from([4]);
+    output.into_data().assert_eq(&expected.into_data(), true);
+}