diff --git a/hailo_model_zoo/core/eval/tracking_evaluation_external/matching.py b/hailo_model_zoo/core/eval/tracking_evaluation_external/matching.py
index 59aeac49..4a1a1e8f 100644
--- a/hailo_model_zoo/core/eval/tracking_evaluation_external/matching.py
+++ b/hailo_model_zoo/core/eval/tracking_evaluation_external/matching.py
@@ -1,4 +1,4 @@
-import lap
+from scipy.optimize import linear_sum_assignment
 import numpy as np
 import scipy
 from scipy.spatial.distance import cdist
@@ -39,7 +39,8 @@ def linear_assignment(cost_matrix, thresh):
     if cost_matrix.size == 0:
         return np.empty((0, 2), dtype=int), tuple(range(cost_matrix.shape[0])), tuple(range(cost_matrix.shape[1]))
     matches, unmatched_a, unmatched_b = [], [], []
-    cost, x, y = lap.lapjv(cost_matrix, extend_cost=True, cost_limit=thresh)
+    x, y = linear_sum_assignment(cost_matrix)
+    cost = cost_matrix[x, y].sum()
     for ix, mx in enumerate(x):
         if mx >= 0:
             matches.append([ix, mx])
diff --git a/hailo_model_zoo/core/eval/tracking_evaluation_external/mot_evaluator.py b/hailo_model_zoo/core/eval/tracking_evaluation_external/mot_evaluator.py
index 9d022e48..55dd1cd3 100644
--- a/hailo_model_zoo/core/eval/tracking_evaluation_external/mot_evaluator.py
+++ b/hailo_model_zoo/core/eval/tracking_evaluation_external/mot_evaluator.py
@@ -3,7 +3,7 @@
 import motmetrics as mm
 import numpy as np
 
-mm.lap.default_solver = "lap"
+mm.lap.default_solver = "scipy.optimize"
 
 
 class Evaluator(object):
@@ -22,7 +22,7 @@ def eval_frame(self, gt_tlwhs, gt_ids, ignore_tlwhs, trk_tlwhs, trk_ids, rtn_eve
         keep = np.ones(len(trk_tlwhs), dtype=bool)
         iou_distance = mm.distances.iou_matrix(ignore_tlwhs, trk_tlwhs, max_iou=0.5)
         if len(iou_distance) > 0:
-            match_is, match_js = mm.lap.linear_sum_assignment(iou_distance)
+            match_is, match_js = linear_sum_assignment(iou_distance)
             match_is, match_js = (np.asarray(a, dtype=int) for a in [match_is, match_js])
             match_ious = iou_distance[match_is, match_js]
 
diff --git a/hailo_model_zoo/core/postprocessing/cython_utils/cython_nms.pyx b/hailo_model_zoo/core/postprocessing/cython_utils/cython_nms.pyx
index e4efd8fe..29e33a86 100644
--- a/hailo_model_zoo/core/postprocessing/cython_utils/cython_nms.pyx
+++ b/hailo_model_zoo/core/postprocessing/cython_utils/cython_nms.pyx
@@ -25,7 +25,7 @@ def nms(np.ndarray[np.float32_t, ndim=2] dets, np.float32_t thresh):
     cdef np.ndarray[np.int64_t, ndim=1] order = scores.argsort()[::-1]
 
     cdef int ndets = dets.shape[0]
-    cdef np.ndarray[np.int_t, ndim=1] suppressed = \
+    cdef np.ndarray[np.int32_t, ndim=1] suppressed = \
             np.zeros((ndets), dtype=int)
 
     # nominal indices
diff --git a/setup.py b/setup.py
index 4a80f1a2..df4cc642 100755
--- a/setup.py
+++ b/setup.py
@@ -39,7 +39,7 @@
 def main():
     reqs = [
         "numba",
-        "imageio==2.9.0",
+        "imageio>=2.9.0",
         "matplotlib",
         "numpy",
         "opencv-python",
@@ -48,13 +48,12 @@ def main():
         "termcolor",
         "tqdm",
         "pycocotools",
-        "lap==0.4.0",
-        "motmetrics==1.2.5",
-        "omegaconf==2.3.0",
-        "pillow<=9.2.0",
-        "detection-tools==0.3",
-        "scikit-image==0.19.3",
-        "nuscenes-devkit==1.1.10",
+        "motmetrics>=1.2.5",
+        "omegaconf>=2.3.0",
+        "pillow>=9.2.0",
+        "detection-tools>=0.3",
+        "scikit-image>=0.19.3",
+        "nuscenes-devkit>=1.1.10",
     ]
 
     model_zoo_version = "2.13.0"