It is recommended to fetch the latestMiDaS repovia torch hub before proceeding: importtorchtorch.hub.help("intel-isl/MiDaS","DPT_BEiT_L_384",force_reload=True)# Triggers fresh download of MiDaS repo importtorchrepo="isl-org/ZoeDepth"# Zoe_Nmodel_zoe_n=torch.hub.load(repo,"ZoeD_N",pr...
August 21, 2024 7 min read Solving a Constrained Project Scheduling Problem with Quantum Annealing Data Science Solving the resource constrained project scheduling problem (RCPSP) with D-Wave’s hybrid constrained quadratic model (CQM) Luis Fernando PÉREZ ARMAS, Ph.D. ...
importtorchtorch.hub.help("intel-isl/MiDaS","DPT_BEiT_L_384",force_reload=True)# Triggers fresh download of MiDaS repo ZoeDepth models Using torch hub importtorchrepo="isl-org/ZoeDepth"# Zoe_Nmodel_zoe_n=torch.hub.load(repo,"ZoeD_N",pretrained=True)# Zoe_Kmodel_zoe_k=torch.hub.lo...
import torch torch.hub.help("intel-isl/MiDaS", "DPT_BEiT_L_384", force_reload=True) # Triggers fresh download of MiDaS repoZoeDepth models Using torch hubimport torch repo = "isl-org/ZoeDepth" # Zoe_N model_zoe_n = torch.hub.load(repo, "ZoeD_N", pretrained=True) # Zoe_K ...