YaTharThShaRma999
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Update README.md
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README.md
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import numpy as np
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import heapq
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while open_heap:
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current_fscore, current = heapq.heappop(open_heap)
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if current == goal:
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path = []
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while current in came_from:
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path.append(current)
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current = came_from[current]
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return path[::-1]
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close_set.add(current)
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for i, j in neighbors:
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neighbor = current[0] + i, current[1] + j
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if 0 <= neighbor[0] < array_shape[0] and 0 <= neighbor[1] < array_shape[1]:
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if array_get(neighbor) == 1 or neighbor in close_set:
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continue # Skip obstacles and already visited nodes
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tentative_g_score = gscore[current] + heuristic(current, neighbor)
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if tentative_g_score < gscore.get(neighbor, float('inf')):
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came_from[neighbor] = current
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gscore[neighbor] = tentative_g_score
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fscore[neighbor] = tentative_g_score + heuristic(neighbor, goal)
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heapq.heappush(open_heap, (fscore[neighbor], neighbor))
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return None # No path found
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git clone https://github.com/graspnet/graspnet-baseline.git
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cd graspnet-baseline
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pip install -r requirements.txt
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cd pointnet2
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python setup.py install
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cd knn
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python setup.py install
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git clone https://github.com/graspnet/graspnetAPI.git
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cd graspnetAPI
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pip install .
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CUDA_VISIBLE_DEVICES=0 python demo.py --checkpoint_path logs/log_kn/checkpoint.tar
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https://drive.google.com/file/d/1hd0G8LN6tRpi4742XOTEisbTXNZ-1jmk/view?pli=1
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